From b146856b370b3107d3de8b0a512ab871b47a87c5 Mon Sep 17 00:00:00 2001 From: plazas Date: Thu, 10 Sep 2026 17:26:45 -0400 Subject: [PATCH 1/5] Add 103 coadd and color DP2 NB tutorials --- .../103_8_Multi_coadd_mosaic.ipynb | 527 ++++++++++++++ .../103_9_Custom_color_images.ipynb | 675 ++++++++++++++++++ 2 files changed, 1202 insertions(+) create mode 100644 DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb create mode 100644 DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb new file mode 100644 index 00000000..173d9aef --- /dev/null +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb @@ -0,0 +1,527 @@ +{ + "cells": [ + { + "attachments": { + "d5f03413-ecf1-47ca-8d6d-0185992158c5.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "e0de3506-06ec-4f46-92b3-a6f01753d9fc", + "metadata": {}, + "source": "# 103.8. Multi-coadd mosaic cutouts\n\n
\n\n![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n\n
\n\nFor the Rubin Science Platform at data.lsst.cloud.\\\nData Release: [Data Preview 2](https://dp2.lsst.io/)\\\nContainer Size: Large\\\nLSST Science Pipelines version: r30.0.11\\\nLast verified to run: 2026-09-10\\\nRepository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\nDOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**Learning objective:** Create a large, custom `deep_coadd` cutout that spans multiple patches (and possibly tracts).\n\n**LSST data products:** `deep_coadd`.\n\n**Packages:** `lsst.daf.butler`, `lsst.ip.diffim.GetTemplateTask`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`.\n\n**Credit:** Originally developed by Andrés A. Plazas Malagón and the Rubin Community Science team with input from Nate Lust. Adapted for DP2 by the Rubin Community Science team.\nPlease consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n\n**Get Support:**\nEveryone is encouraged to ask questions or raise issues in the\nSupport Category\nof the Rubin Community Forum.\nRubin staff will respond to all questions posted there.", + "id": "cell-001" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 1. Introduction\n\nThis tutorial demonstrates how to create a large, custom cutout from the LSST `deep_coadd` images using the Rubin Science Platform (RSP) and the LSST Science Pipelines, defining an arbitrary sky region larger than a single coadd patch.\nThe workflow follows a process similar to template generation in alert production, using `GetTemplateTask` to assemble input exposures into a single image defined by a user-specified World Coordinate System (WCS) and bounding box.\n\nThe galaxy cluster PSZ2 G309.43-72.86, a Sunyaev-Zel'dovich-selected cluster at redshift $z = 0.35$ in the ELAIS-S1 deep drilling field, is used as an example. Its angular extent is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n\n**Related tutorials:** The 103-series tutorial on making custom color images uses this same multi-patch cutout technique.", + "id": "cell-002" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 1.1. Import packages\n\n`GetTemplateTask` (`lsst.ip.diffim`) retrieves template images for image differencing, while `MakeDiscreteSkyMapTask` (`lsst.pipe.tasks.makeDiscreteSkyMap`) generates a discrete sky map for defining sky coverage. `InMemoryDatasetHandle` (`lsst.pipe.base`) wraps in-memory exposures so they can be passed to the task (see Section 3).", + "id": "cell-003" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom lsst.daf.butler import Butler\nimport lsst.afw.display as afwDisplay\nfrom lsst.afw.detection import InvalidPsfError\n\nfrom lsst.geom import Box2I, Point2I, SpherePoint, degrees, Point2D\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", + "id": "cell-004" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 1.2. Define parameters and functions", + "id": "cell-005" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Instantiate the butler.", + "id": "cell-006" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "butler = Butler(\"dp2\", collections=\"dp2\")\nassert butler is not None", + "id": "cell-007" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap.", + "id": "cell-008" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")", + "id": "cell-009" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 2. Prepare to create the cutout", + "id": "cell-010" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Use the galaxy cluster PSZ2 G309.43-72.86, a rich cluster at redshift 0.35 that is included in the DP2 data release in the ELAIS-S1 field.\nThe angular extent of the cluster is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n\nDefine the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", + "id": "cell-011" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "ra_bcg = 10.196\ndec_bcg = -44.134", + "id": "cell-012" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define a box size of 0.1 degrees around the center, then search for all patches within twice that size (2 * `box_size_deg`).", + "id": "cell-013" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "box_size_deg = 0.1", + "id": "cell-014" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the region from where the `deep_coadd` dataset references will be retrieved.", + "id": "cell-015" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "box_region = SphBox.fromDegrees(ra_bcg - box_size_deg, dec_bcg - box_size_deg,\n ra_bcg + box_size_deg, dec_bcg + box_size_deg)", + "id": "cell-016" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the dataset references in the `i` band.", + "id": "cell-017" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "my_band = ['i']", + "id": "cell-018" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "dataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ('{my_band[0]}')\",\n bind={\"region\": box_region}\n )\n)", + "id": "cell-019" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Inspect the references for the `deep_coadd`s, corresponding to different patches in the region.", + "id": "cell-020" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "dataset_refs", + "id": "cell-021" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 3. Create the cutout", + "id": "cell-022" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Create an image of an arbitrary sky region that is not aligned with the native Legacy Survey of Space and Time (LSST) sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code (`GetTemplateTask`) can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single astrometric solution or World Coordinate System (WCS) that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA new and custom discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box. The `GetTemplateTask` creates coadds for each band.", + "id": "cell-023" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "
\nNote on DP2 storage classes: In DP2, the default storage class of a deep_coadd is a cell-based coadd (lsst.images.cells.CellCoadd), while GetTemplateTask expects ExposureF objects. Retrieve each coadd with storageClass=\"Exposure\" and wrap it in an InMemoryDatasetHandle, then pass the handles to the task through the coaddExposureHandles argument. This is a validated workaround for a temporary issue with passing storageClass=\"Exposure\" to deferred (lazy) Butler handles; see the Rubin Community Forum discussion.\n
", + "id": "cell-024" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Prepare the inputs for building the custom skymap.\n\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define the custom skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", + "id": "cell-025" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", + "id": "cell-026" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Make a skymap that contains all input data.", + "id": "cell-027" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", + "id": "cell-028" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "The default configuration values of this custom skymap for the pixel scale and WCS projection type are not appropriate for LSSTCam.\nThe following cells override these parameters with appropriate values.", + "id": "cell-029" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Use the cluster location to obtain the pixel scale there.\nFirst, get the WCS of the patch and tract where the cluster is located.", + "id": "cell-030" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", + "id": "cell-031" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the data reference for the coadd in the `i` band that contains the cluster center.", + "id": "cell-032" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[my_band[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", + "id": "cell-033" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the coadd from the data reference, using `storageClass=\"Exposure\"` (see the note above).", + "id": "cell-034" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_coadd = butler.get(bcg_data_ref, storageClass=\"Exposure\")", + "id": "cell-035" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the WCS from the coadd.", + "id": "cell-036" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "wcs_bcg = bcg_coadd.getWcs()", + "id": "cell-037" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Use the plate scale at the cluster location.", + "id": "cell-038" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "plate_scale_bcg = wcs_bcg.getPixelScale(Point2D(bcg_point)).asArcseconds()", + "id": "cell-039" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Set the plate scale in the new skymap.", + "id": "cell-040" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", + "id": "cell-041" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Set the WCS projection type.\nThe WCS of `deep_coadd` images are `TAN` projections ([see the DP2 documentation](https://dp2.lsst.io/)).", + "id": "cell-042" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config.skyMap.projection = 'TAN'", + "id": "cell-043" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Compute the new skymap.", + "id": "cell-044" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", + "id": "cell-045" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the new WCS from the single tract discrete skymap.", + "id": "cell-046" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_wcs = new_skymap[0].wcs", + "id": "cell-047" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_wcs", + "id": "cell-048" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Create a bounding box in the new WCS coordinates that is centered on the cluster and has the width defined above.", + "id": "cell-049" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - box_size_deg,\n dec_bcg - box_size_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + box_size_deg,\n dec_bcg + box_size_deg, degrees))),\n)", + "id": "cell-050" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Create a new coadd image in the band defined above (`i`) that is a combination of the inputs contained within the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", + "id": "cell-051" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "getTemplateTask = GetTemplateTask()\nmapping = sorted_data[my_band[0]]\n\nsmall_box_copy = Box2I(small_box)\nnew_image_i = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=my_band[0],\n)", + "id": "cell-052" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 4. Visualize the custom cutout", + "id": "cell-053" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 4.1. Display with matplotlib", + "id": "cell-054" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "afwDisplay.setDefaultBackend('matplotlib')", + "id": "cell-055" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "fig = plt.figure(figsize=(8, 8))\ndisplay = afwDisplay.Display(frame=fig)\ndisplay.scale('asinh', 'zscale')\ndisplay.mtv(new_image_i.template.image)\nplt.show()", + "id": "cell-056" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "> **Figure 1:** Cutout of the galaxy cluster PSZ2 G309.43-72.86, displayed using `matplotlib` as the backend for `afw.display`. Note that the coordinates are in pixel units.", + "id": "cell-057" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_image_i.template.image.array.shape", + "id": "cell-058" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 4.2. Display with Firefly\n\nFirefly allows for interactive image display and manipulation.\n\nReset the `afwDisplay` backend to be Firefly and start the display.\nA new tab will open, containing the Firefly interface.\nNote that Firefly will use the new WCS information to display the image in celestial coordinates.", + "id": "cell-059" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "afwDisplay.setDefaultBackend('firefly')\nafw_display = afwDisplay.Display(frame=1)", + "id": "cell-060" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Display the image in Firefly.", + "id": "cell-061" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "afw_display.mtv(new_image_i.template)", + "id": "cell-062" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "The Firefly default is to visualize the mask plane with colors.\nSet the mask plane transparency to 100, fully transparent, to see only the pixel data.", + "id": "cell-063" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "afw_display.setMaskTransparency(100)", + "id": "cell-064" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 4.3. Option to save as a FITS file\n\nTo save as a FITS file in the home directory, uncomment (remove the #)\nfrom all lines in the following cell and then execute it.\n\n> **Warning:** Images can take up a lot of disk space. Save and download with caution.", + "id": "cell-065" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "# import os\n# username = os.environ.get('USER')\n# fnm = '/home/' + username + '/my_big_cutout_dp2_cluster.fits'\n# new_image_i.template.writeFits(fnm)\n# del username, fnm", + "id": "cell-066" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 5. Compare PSFs\n\nRetrieve the Point Spread Function (PSF) objects for the new big coadd and for the coadd associated with the cluster center.\nCompare the PSF size at the center of the cluster and near one corner of the big coadd region.", + "id": "cell-067" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the locations.", + "id": "cell-068" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "margin = 0.01\nlocations = [\n (\"center\", bcg_point),\n (\"corner\", SpherePoint(ra_bcg - box_size_deg + margin,\n dec_bcg - box_size_deg + margin, degrees)),\n]", + "id": "cell-069" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Loop over locations and compare the PSF Full Width at Half Maximum (FWHM) size for each one.", + "id": "cell-070" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "SIGMA_TO_FWHM = 2.0*np.sqrt(2.0*np.log(2.0))\nfor label, loc in locations:\n print(f\"Label: {label}\")\n print(f\"Loc: {loc} deg\")\n try:\n center_pix_coadd = wcs_bcg.skyToPixel(loc)\n point_coadd = Point2D(center_pix_coadd)\n coadd_psf = bcg_coadd.getPsf()\n psf_sigma_coadd = coadd_psf.computeShape(point_coadd).getDeterminantRadius()\n\n center_pix_new = new_wcs.skyToPixel(loc)\n point_new = Point2D(center_pix_new)\n newimage_psf = new_image_i.template.getPsf()\n psf_sigma_new = newimage_psf.computeShape(point_new).getDeterminantRadius()\n\n percent_diff = np.abs(psf_sigma_coadd - psf_sigma_new) / psf_sigma_new * 100\n print(f\"{label} coadd_bcg FWHM = {psf_sigma_coadd * SIGMA_TO_FWHM: .3f} pixels\")\n print(f\"{label} newimage FWHM = {psf_sigma_new * SIGMA_TO_FWHM: .3f} pixels\")\n print(f\"{label} percent difference = {percent_diff: .2f}%\\n\")\n except InvalidPsfError as e:\n print(f\"PSF could not be computed at {point_coadd}: {e}\")", + "id": "cell-071" + } + ], + "metadata": { + "kernelspec": { + "display_name": "LSST", + "language": "python", + "name": "lsst" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.9" + }, + "toc-autonumbering": false + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb new file mode 100644 index 00000000..c73885c5 --- /dev/null +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb @@ -0,0 +1,675 @@ +{ + "cells": [ + { + "attachments": { + "d5f03413-ecf1-47ca-8d6d-0185992158c5.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "e0de3506-06ec-4f46-92b3-a6f01753d9fc", + "metadata": {}, + "source": "# 103.9. Custom color images\n\n
\n\n![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n\n
\n\nFor the Rubin Science Platform at data.lsst.cloud.\\\nData Release: [Data Preview 2](https://dp2.lsst.io/)\\\nContainer Size: Large\\\nLSST Science Pipelines version: r30.0.11\\\nLast verified to run: 2026-09-10\\\nRepository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\nDOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**Learning objective:** To make a custom color composite image.\n\n**LSST data products:** `deep_coadd`\n\n**Packages:** `lsst.daf.butler`, `lsst.geom`, `lsst.sphgeom`, `lsst.pipe.tasks.prettyPictureMaker`, `lsst.ip.diffim`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`, `matplotlib.pyplot`.\n\n**Credit:** Originally developed by Andrés A. Plazas Malagón, Nate Lust, Clare Higgs, and the Rubin Community Science team; Section 2 is based on a script by Nate Lust; Section 3 is based on a script by Nate Lust and a notebook by Phil Marshall, Phil Holloway, Ralf Kaehler, Ferro Shao, including code from Robert Lupton; and Section 4 is based on a script by Nate Lust and a notebook by Céline Combet. Adapted for DP2 by the Rubin Community Science team.\n\nPlease consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n\n**Related tutorials:** See the 103-series tutorial on multi-coadd mosaic cutouts, which introduces the multi-patch cutout technique used in Section 4.\n\n**Get Support:**\nEveryone is encouraged to ask questions or raise issues in the\nSupport Category\nof the Rubin Community Forum.\nRubin staff will respond to all questions posted there.", + "id": "cell-001" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 1. Introduction\n\nThis tutorial demonstrates how to use the [`lsst.pipe.tasks.prettyPictureMaker`](https://github.com/lsst/pipe_tasks/tree/main/python/lsst/pipe/tasks/prettyPictureMaker) code from the LSST Science Pipelines to produce high-quality RGB composite images from multi-band data.\n\nThe `prettyPictureMaker` task in the LSST Science Pipelines is specifically optimized for LSST images, incorporating algorithms that are hue preserving so that astrophysical colors remain consistent across brightness levels. Unlike many external packages that emphasize contrast at the expense of color fidelity, Rubin's approach ensures that faint objects retain distinguishable colors and bright objects do not lose astrophysical color information. By keeping hue constant across all brightness levels, the algorithm enables consistent comparison of astrophysical objects regardless of their distance or intrinsic brightness. In addition, it corrects for the non-uniform way the human eye perceives color, producing perceptually uniform hues that more accurately convey the information contained in astrophysical colors.\n\nSection 2 builds and explains the `PrettyPictureTask` configuration object that controls image stretching, tone mapping, color balance, and other visual aspects. In Section 3, a cutout of an *Euclid* Quick Release 1 strong lens candidate in the Euclid Deep Field South (a Data Preview 2 [DP2] field) is made and rendered as a color composite. Finally, in Section 4, a color composite of the galaxy cluster PSZ2 G309.43-72.86 is displayed.", + "id": "cell-002" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 1.1. Import packages\n\nThe `PrettyPictureTask` and `ChannelRGBConfig` classes from `lsst.pipe.tasks.prettyPictureMaker` are used for creating color composites, while `GetTemplateTask` from `lsst.ip.diffim`, `MakeDiscreteSkyMapTask` from `lsst.pipe.tasks.makeDiscreteSkyMap`, and `InMemoryDatasetHandle` from `lsst.pipe.base` support working with image templates and sky maps.", + "id": "cell-003" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "from lsst.daf.butler import Butler\n\nfrom lsst.geom import Box2I, Point2I, Point2D, Extent2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.pipe.tasks.prettyPictureMaker import PrettyPictureTask\nfrom lsst.pipe.tasks.prettyPictureMaker._task import ChannelRGBConfig\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle\n\nimport matplotlib.pyplot as plt", + "id": "cell-004" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 1.2. Define parameters and functions", + "id": "cell-005" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**Function**: `display_image_array`\n\nDisplays an RGB image from an array.", + "id": "cell-006" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "def display_image_array(image_array, ax=None, figsize=(8, 8), name=None):\n \"\"\"Display an RGB image from array.\n\n Parameters\n ----------\n image_array : np.array\n numpy array HxWx3 that corresponds to an RGB image\n ax : matplotlib.axes.Axes, optional\n Axis to draw on; if None, a new Figure and Axes are created.\n figsize : tuple, optional\n Size of the created `matplotlib.Figure` (ignored if `ax` is provided).\n name : str, optional\n Label to annotate the image.\n \"\"\"\n if ax is None:\n fig = plt.figure(figsize=figsize)\n ax = fig.add_subplot(1, 1, 1)\n\n ax.imshow(image_array, interpolation=\"nearest\", origin=\"lower\")\n ax.axis(\"off\")\n\n if name:\n ax.text(0, 0.95, name, color=\"white\", fontsize=12, ha=\"left\", va=\"top\",\n transform=ax.transAxes)\n\n return", + "id": "cell-007" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Create an instance of the butler, and assert that it exists.", + "id": "cell-008" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "butler = Butler(\"dp2\", collections=\"dp2\")\nassert butler is not None", + "id": "cell-009" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap.", + "id": "cell-010" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")", + "id": "cell-011" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 2. `PrettyPictureTask` configuration", + "id": "cell-012" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the configuration file for `PrettyPictureTask`, and set some parameters.", + "id": "cell-013" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config = PrettyPictureTask.ConfigClass()", + "id": "cell-014" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.1. `localContrastConfig.doLocalContrast`\n\nThis parameter toggles local-contrast enhancement in the luminance channel. It defaults to `True`; turn it off for small images or faster processing, and keep it on to boost mid-scale detail in extended objects (e.g., subtle spiral arms). When enabled, contrast is enhanced before color mapping, revealing structures that are close in brightness to their surroundings.\n\nFor simplicity and speed, it is disabled here.", + "id": "cell-015" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.localContrastConfig.doLocalContrast = False", + "id": "cell-016" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.2. `imageRemappingConfig.absMax`\n\nThis parameter sets the input data value (for Rubin data, in nJy) that will be treated as \"white\" in the output image.\nIn this context, \"white\" means the maximum display intensity in the output RGB image.\nWhen an input pixel has a flux equal to `imageRemappingConfig.absMax`, it will be mapped to pure white (full intensity in all channels) after stretching and scaling.\nBrighter fluxes will also be clipped to white.\n\nIf left unset, the brightest pixel in the image might be used as the white point --- but this can be unstable due to rare, very bright pixels in the long tail of the brightness histogram.", + "id": "cell-017" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.imageRemappingConfig.absMax = 11000", + "id": "cell-018" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.3. `luminanceConfig.stretch`\n\nThis parameter controls the strength of the arcsinh stretch applied to the luminance channel, as defined in [Lupton et al. 2004](https://ui.adsabs.harvard.edu/abs/2004PASP..116..133L/abstract).\nThe arcsinh function compresses the dynamic range of the image while still preserving faint structures, making it well-suited for astronomical images where bright sources and faint details coexist. Smaller values of stretch produce a more aggressive compression that enhances faint features but can cause bright regions to saturate, while larger values approach a nearly linear scaling.", + "id": "cell-019" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.luminanceConfig.stretch = 750", + "id": "cell-020" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.4. `luminanceConfig.Q`\n\nThis is the asinh softening parameter as defined in [Lupton et al. 2004](https://ui.adsabs.harvard.edu/abs/2004PASP..116..133L/abstract), with `Q` > 0.\nIt controls how rapidly the arcsinh function transitions from a linear regime for faint values to a logarithmic regime for bright values.\nSmaller values make the transition sharper; larger values make it smoother.", + "id": "cell-021" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.luminanceConfig.Q = 0.7", + "id": "cell-022" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.5. `luminanceConfig.highlight`, `luminanceConfig.shadow`, `luminanceConfig.midtone`\n\nThese parameters control a tone-mapping function applied after the arcsinh stretch, similar to the highlight, shadow, and midtone sliders in many photo-editing applications.\nThey determine how the luminance values, now scaled to the 0–1 range, are mapped to the final display brightness.\n\nThe `highlight` value sets the luminance level that will be mapped to white, while `shadow` sets the level that will be mapped to black.\nThe `midtone` parameter defines the balance point between white and black, affecting the overall contrast and brightness perception of the image.\nAdjusting these values allows fine-tuning of the tonal balance to emphasize particular brightness ranges without altering the color mapping.", + "id": "cell-023" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.luminanceConfig.highlight = 0.905882\npretty_pic_config.luminanceConfig.shadow = 0.12\npretty_pic_config.luminanceConfig.midtone = 0.25", + "id": "cell-024" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.6. `doPSFDeconcovlve`\n\nThis parameter controls whether the image will undergo Point Spread Function (PSF) deconvolution as part of the processing. Due to a typo in the name, the parameter is spelled `doPSFDeconcovlve` in the code. Setting it to `False` disables PSF deconvolution, which can simplify and speed up the processing, especially for tutorial or exploratory work. When enabled, PSF deconvolution can sharpen features in the image by compensating for the blurring effects of the point-spread function, but it also increases computational complexity and may amplify noise in low signal-to-noise regions.", + "id": "cell-025" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.doPSFDeconcovlve = False", + "id": "cell-026" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.7. `exposureBrackets`\n\nThis parameter enables the use of exposure bracketing, an advanced technique for further compressing the dynamic range of an image. Exposure brackets combine differently scaled versions of the same image to retain detail in both the brightest and faintest regions, similar to high dynamic range (HDR) processing in photography. While powerful, this feature can require careful tuning to achieve the desired visual effect. For simplicity and consistency in this tutorial, it is set to `None`, which disables bracketing and uses a single stretch for the entire image.", + "id": "cell-027" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.exposureBrackets = None", + "id": "cell-028" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.8. `colorConfig.maxChroma` and `colorConfig.saturation`\n\nThese parameters control how color intensity changes with brightness.\nIncreasing `maxChroma` (> 0) and `saturation` produces richer, more vibrant colors compared to the default settings, enhancing visual appeal while preserving the relative color balance of objects in the image.\nThe `saturation` factor ranges from 0 to 1, but values near 1 are not recommended because they can make bright pixels appear overly saturated.", + "id": "cell-029" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.colorConfig.maxChroma = 80\npretty_pic_config.colorConfig.saturation = 0.6", + "id": "cell-030" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 2.9. `channelConfig`\n\nThis setting controls how each input band contributes to the red, green, and blue channels of the final RGB image. In the default configuration, the *g* band maps entirely to blue, the *r* band to green, and the *i* band to red, producing a straightforward g–r–i color composite (with the `rgb` values in the [0,1] range).\n\nIt's possible to assign any floating-point weights, allowing a band to contribute to multiple color channels. This can be used to fine-tune color balance or to include additional bands beyond three by mixing them into the RGB channels (e.g., adding *u* to blue and red to simulate violet, or mixing *z* into red). The mapping is applied uniformly across all brightness levels, so object colors remain consistent regardless of brightness. Keeping each band mapped to a single channel is simplest to interpret, but mixing can provide more flexibility and information.", + "id": "cell-031" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.channelConfig = {}\npretty_pic_config.channelConfig[\"g\"] = ChannelRGBConfig(r=0, g=0, b=1)\npretty_pic_config.channelConfig[\"r\"] = ChannelRGBConfig(r=0, g=1, b=0)\npretty_pic_config.channelConfig[\"i\"] = ChannelRGBConfig(r=1, g=0, b=0)", + "id": "cell-032" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define an instance of `PrettyPictureTask` with the configuration file.", + "id": "cell-033" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "task = PrettyPictureTask(config=pretty_pic_config)", + "id": "cell-034" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 3. Strong-lens candidate cutout\n\nMake a cutout of a strong lens candidate from Euclid data in the Euclid Deep Field South (EDFS) DP2 field.", + "id": "cell-035" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the approximate coordinates of the lens, in degrees.\nThe coordinates are from [\"Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine\"](https://doi.org/10.5281/zenodo.15025832).\nThis example uses one target, but the workflow is structured to accept a list of positions.", + "id": "cell-036" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "ra_coordinates = [59.626134]\ndec_coordinates = [-49.06175]", + "id": "cell-037" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the stamp size, in pixels.", + "id": "cell-038" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "stamp_size = 32", + "id": "cell-039" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the photometric bands of the input images used to create the composite color image.", + "id": "cell-040" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bands = [\"g\", \"r\", \"i\"]", + "id": "cell-041" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Format the bands into a query string.", + "id": "cell-042" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bands_str = \",\".join(f\"'{b}'\" for b in bands)", + "id": "cell-043" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bands_str", + "id": "cell-044" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Find the tract, patch for each of the RA and Dec coordinate pairs (in this case, just one), using the `coord_list_to_tract_patch` function.", + "id": "cell-045" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "def coord_list_to_tract_patch(coord_list, skymap):\n \"\"\"Create a list of tract, patch pairs for each coordinate in the input list.\n\n Parameters\n ----------\n coord_list : `list` of `lsst.geom.SpherePoint`\n List of coordinates for which the closest tract, patch region is to be\n found.\n skymap : `lsst.skymap.BaseSkymap`\n The skymap from where the tract, patch pairs are to be determined.\n\n Results\n -------\n results : `list` of `tuple` of `int`, `int`\n A list the same length as the input which each element is the closest\n tract patch to the corresponding coordinate. A tuple of -1, -1 will\n be returned if a coordinate can't be attributed to a tract, patch.\n\n Notes\n ----\n The patch number returned is the sequential index used to identify patches\n in the butler.\n \"\"\"\n results = []\n for coord in coord_list:\n tractInfo = skymap.findTract(coord)\n for patchInfo in tractInfo:\n if patchInfo.getInnerSkyPolygon().contains(coord.getVector()):\n results.append((tractInfo.getId(), patchInfo.getSequentialIndex()))\n break\n else:\n results.append((-1, -1))\n return results", + "id": "cell-046" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "sph_points = [SpherePoint(r, d, degrees) for r, d in zip(ra_coordinates, dec_coordinates)]\nskymap_tract_patch = coord_list_to_tract_patch(sph_points, skymap)", + "id": "cell-047" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Sort into tract–patch keys so that all points can be processed in a single tract–patch combination for efficiency. Because of patch overlap regions, `patch` is a list of one or more patches, and the first one is used.", + "id": "cell-048" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "sorted_tract_patch = {}\nfor i, (tract, patch) in enumerate(skymap_tract_patch):\n container = sorted_tract_patch.setdefault((tract, patch), list())\n container.append(sph_points[i])", + "id": "cell-049" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Loop over tract–patch pairs to create RGB images from coadd cutouts.\nFor each patch, the relevant coadd datasets for the requested bands are fetched through the Butler, with duplicates removed using `set`.\nEach coadd is retrieved with `storageClass=\"Exposure\"` so that `getCutout` returns an `ExposureF` (in DP2, the default `deep_coadd` storage class is a cell-based coadd).\nSince all bands in a tract–patch share the same World Coordinate System (WCS), one WCS is used to transform sky coordinates into pixel coordinates.\nFor every target point, a bounding box is defined to extract a cutout from each band image.\nThese cutouts are passed to the `PrettyPictureTask`, which produces an RGB image for display.\n\n**Note**: The `PrettyPictureTask` run method natively takes a dictionary mapping of bands as keys to exposures. However, the task also supports arrays via `task.makeInputsFromArrays`, which can be used if the band data have already been preprocessed into numpy arrays.", + "id": "cell-050" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": ">**Warning**: Fetching cutouts individually can be inefficient because the Butler re-reads the images for every request; for multiple cutouts, it is usually faster to fetch the full image once and then slice it locally.", + "id": "cell-051" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "for (tract, patch), points in sorted_tract_patch.items():\n lens_refs = list(\n set(\n butler.query_datasets(\n \"deep_coadd\",\n patch=patch,\n tract=tract,\n where=f\"band in ({bands_str})\",\n )\n )\n )\n\n wcs = skymap[tract].wcs\n coadd_dict = {}\n for ref in lens_refs:\n coadd_dict[ref.dataId[\"band\"]] = butler.get(ref, storageClass=\"Exposure\")\n\n for point in points:\n xy = Point2I(wcs.skyToPixel(point))\n cutoutSize = Extent2I(stamp_size, stamp_size)\n bbox = Box2I(xy - cutoutSize // 2, cutoutSize)\n cutouts = {k: exp.getCutout(bbox) for k, exp in coadd_dict.items()}\n rgbImage = task.run(cutouts).outputRGB\n display_image_array(rgbImage, figsize=(8, 4), name=\"EUCLID QR1 Lens Candidate\")", + "id": "cell-052" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": ">**Figure 1**: `gri` color-composite cutout of a Euclid QR1 strong lens candidate in DP2 data.", + "id": "cell-053" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 4. Galaxy cluster big cutout\n\nPSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\nCreate a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts.", + "id": "cell-054" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", + "id": "cell-055" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "ra_bcg = 10.196\ndec_bcg = -44.134", + "id": "cell-056" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define a box size of 0.1 degrees around the center, then search for all patches within twice that size (`2 * box_size_deg`).", + "id": "cell-057" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "box_size_deg = 0.1", + "id": "cell-058" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "box_region = SphBox.fromDegrees(ra_bcg - box_size_deg, dec_bcg - box_size_deg,\n ra_bcg + box_size_deg, dec_bcg + box_size_deg)\n\ndataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n bind={\"region\": box_region}\n )\n)", + "id": "cell-059" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Prepare the inputs for building a custom skymap.\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define a skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", + "id": "cell-060" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", + "id": "cell-061" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "The goal is to create an image of an arbitrary sky region that is not aligned with the native LSST sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single WCS that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box.\nThe `GetTemplateTask` creates coadds for each band, which are then combined into a final RGB mosaic.", + "id": "cell-062" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "
\nNote on DP2 storage classes: In DP2, the default storage class of a deep_coadd is a cell-based coadd (lsst.images.cells.CellCoadd), while GetTemplateTask expects ExposureF objects. Retrieve each coadd with storageClass=\"Exposure\" and wrap it in an InMemoryDatasetHandle, then pass the handles to the task through the coaddExposureHandles argument. See the Rubin Community Forum discussion for details.\n
", + "id": "cell-063" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "First, make a skymap which contains all input data using the `MakeDiscreteSkyMapTask()` task.", + "id": "cell-064" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Override the default `MakeDiscreteSkyMapTask()` configuration values and replace them with those appropriate for LSSTCam, in particular the pixel scale and the World Coordinate System (WCS) projection.", + "id": "cell-065" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Use the cluster location to obtain the pixel scale.\nFirst, get the WCS of the patch and tract where the cluster is located.", + "id": "cell-066" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", + "id": "cell-067" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the data reference for the coadd in the `g` band that contains the cluster center.", + "id": "cell-068" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[bands[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", + "id": "cell-069" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the WCS from the coadd, using `storageClass=\"Exposure\"` (see the note above).", + "id": "cell-070" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "wcs_bcg = butler.get(bcg_data_ref, storageClass=\"Exposure\").getWcs()", + "id": "cell-071" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "plate_scale_bcg = wcs_bcg.getPixelScale(Point2D(bcg_point)).asArcseconds()", + "id": "cell-072" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define an instance of the configuration class and override the plate scale.", + "id": "cell-073" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", + "id": "cell-074" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", + "id": "cell-075" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Set the WCS projection. The WCS of `deep_coadd` images are TAN projections ([see the DP2 documentation](https://dp2.lsst.io/)).", + "id": "cell-076" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "discrete_skymap_config.skyMap.projection = 'TAN'", + "id": "cell-077" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", + "id": "cell-078" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the new WCS from the single tract discrete skymap.", + "id": "cell-079" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "new_wcs = new_skymap[0].wcs", + "id": "cell-080" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Create a bounding box in the new WCS coordinates that is centered on the\ncluster and has the width defined above.", + "id": "cell-081" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - box_size_deg,\n dec_bcg - box_size_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + box_size_deg,\n dec_bcg + box_size_deg, degrees))),\n)", + "id": "cell-082" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Loop over bands to create images that are combinations of the inputs contained\nwithin the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", + "id": "cell-083" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "getTemplateTask = GetTemplateTask()\ncoadds = {}\nfor band, mapping in sorted_data.items():\n small_box_copy = Box2I(small_box)\n new_image = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=band,\n ).template\n coadds[band] = new_image", + "id": "cell-084" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Adjust the `shadow` and `midtone` parameters slightly, and redefine the task so the changes take place.", + "id": "cell-085" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "pretty_pic_config.luminanceConfig.shadow = 0.15\npretty_pic_config.luminanceConfig.midtone = 0.3", + "id": "cell-086" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "task = PrettyPictureTask(config=pretty_pic_config)", + "id": "cell-087" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Run the task to make the image.", + "id": "cell-088" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "mosaic_image = task.run(coadds).outputRGB", + "id": "cell-089" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Display the image.", + "id": "cell-090" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "display_image_array(mosaic_image, name=\"PSZ2 G309.43-72.86\")", + "id": "cell-091" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": ">**Figure 2**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86.", + "id": "cell-092" + } + ], + "metadata": { + "kernelspec": { + "display_name": "LSST", + "language": "python", + "name": "lsst" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.9" + }, + "toc-autonumbering": false + }, + "nbformat": 4, + "nbformat_minor": 5 +} From ab2fbba024f627459f2301a6e7c2a7edb8484bb2 Mon Sep 17 00:00:00 2001 From: plazas Date: Thu, 10 Sep 2026 18:28:19 -0400 Subject: [PATCH 2/5] Update NBs Fix error in color image pretty coadd approx Update --- .../103_8_Multi_coadd_mosaic.ipynb | 184 ++++++++++-------- .../103_9_Custom_color_images.ipynb | 166 ++++++++-------- 2 files changed, 178 insertions(+), 172 deletions(-) diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb index 173d9aef..70976b5a 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb @@ -26,7 +26,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "### 1.1. Import packages\n\n`GetTemplateTask` (`lsst.ip.diffim`) retrieves template images for image differencing, while `MakeDiscreteSkyMapTask` (`lsst.pipe.tasks.makeDiscreteSkyMap`) generates a discrete sky map for defining sky coverage. `InMemoryDatasetHandle` (`lsst.pipe.base`) wraps in-memory exposures so they can be passed to the task (see Section 3).", + "source": "### 1.1. Import packages\n\n`GetTemplateTask` (`lsst.ip.diffim`) retrieves template images for image differencing, while `MakeDiscreteSkyMapTask` (`lsst.pipe.tasks.makeDiscreteSkyMap`) generates a discrete sky map for defining sky coverage. `InMemoryDatasetHandle` (`lsst.pipe.base`) wraps in-memory exposures so they can be passed to the task (see Section 3). `galsim` is used to measure the PSF size (Section 5).", "id": "cell-003" }, { @@ -34,7 +34,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom lsst.daf.butler import Butler\nimport lsst.afw.display as afwDisplay\nfrom lsst.afw.detection import InvalidPsfError\n\nfrom lsst.geom import Box2I, Point2I, SpherePoint, degrees, Point2D\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", + "source": "import numpy as np\nimport matplotlib.pyplot as plt\nimport galsim\n\nfrom astropy.coordinates import SkyCoord\nimport astropy.units as u\n\nfrom lsst.daf.butler import Butler\nimport lsst.afw.display as afwDisplay\n\nfrom lsst.geom import Box2I, Point2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", "id": "cell-004" }, { @@ -94,7 +94,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "Define a box size of 0.1 degrees around the center, then search for all patches within twice that size (2 * `box_size_deg`).", + "source": "Define a half-size of 0.1 degrees in declination around the center, so the cutout spans 0.2 degrees on the sky.", "id": "cell-013" }, { @@ -108,7 +108,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "Define the region from where the `deep_coadd` dataset references will be retrieved.", + "source": "To obtain a cutout that is (approximately) square on the sky, the extent in right ascension (RA) must be widened by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\nWithout this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.\nDefine the RA and Dec half-widths accordingly.", "id": "cell-015" }, { @@ -116,13 +116,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "box_region = SphBox.fromDegrees(ra_bcg - box_size_deg, dec_bcg - box_size_deg,\n ra_bcg + box_size_deg, dec_bcg + box_size_deg)", + "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_size_deg / cos_dec\ndec_half_deg = box_size_deg", "id": "cell-016" }, { "cell_type": "markdown", "metadata": {}, - "source": "Get the dataset references in the `i` band.", + "source": "Define the region from where the `deep_coadd` dataset references will be retrieved.", "id": "cell-017" }, { @@ -130,21 +130,21 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "my_band = ['i']", + "source": "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)", "id": "cell-018" }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": "dataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ('{my_band[0]}')\",\n bind={\"region\": box_region}\n )\n)", + "source": "Get the dataset references in the `i` band.", "id": "cell-019" }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, - "source": "Inspect the references for the `deep_coadd`s, corresponding to different patches in the region.", + "outputs": [], + "source": "my_band = ['i']", "id": "cell-020" }, { @@ -152,45 +152,45 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "dataset_refs", + "source": "dataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ('{my_band[0]}')\",\n bind={\"region\": box_region}\n )\n)", "id": "cell-021" }, { "cell_type": "markdown", "metadata": {}, - "source": "## 3. Create the cutout", + "source": "Inspect the references for the `deep_coadd`s, corresponding to different patches in the region.", "id": "cell-022" }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, - "source": "Create an image of an arbitrary sky region that is not aligned with the native Legacy Survey of Space and Time (LSST) sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code (`GetTemplateTask`) can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single astrometric solution or World Coordinate System (WCS) that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA new and custom discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box. The `GetTemplateTask` creates coadds for each band.", + "outputs": [], + "source": "dataset_refs", "id": "cell-023" }, { "cell_type": "markdown", "metadata": {}, - "source": "
\nNote on DP2 storage classes: In DP2, the default storage class of a deep_coadd is a cell-based coadd (lsst.images.cells.CellCoadd), while GetTemplateTask expects ExposureF objects. Retrieve each coadd with storageClass=\"Exposure\" and wrap it in an InMemoryDatasetHandle, then pass the handles to the task through the coaddExposureHandles argument. This is a validated workaround for a temporary issue with passing storageClass=\"Exposure\" to deferred (lazy) Butler handles; see the Rubin Community Forum discussion.\n
", + "source": "## 3. Create the cutout", "id": "cell-024" }, { "cell_type": "markdown", "metadata": {}, - "source": "Prepare the inputs for building the custom skymap.\n\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define the custom skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", + "source": "Create an image of an arbitrary sky region that is not aligned with the native Legacy Survey of Space and Time (LSST) sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code (`GetTemplateTask`) can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single astrometric solution or World Coordinate System (WCS) that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA new and custom discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box. The `GetTemplateTask` creates coadds for each band.", "id": "cell-025" }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", + "source": "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5).", "id": "cell-026" }, { "cell_type": "markdown", "metadata": {}, - "source": "Make a skymap that contains all input data.", + "source": "Prepare the inputs for building the custom skymap.\n\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define the custom skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", "id": "cell-027" }, { @@ -198,33 +198,33 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", + "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", "id": "cell-028" }, { "cell_type": "markdown", "metadata": {}, - "source": "The default configuration values of this custom skymap for the pixel scale and WCS projection type are not appropriate for LSSTCam.\nThe following cells override these parameters with appropriate values.", + "source": "Make a skymap that contains all input data.", "id": "cell-029" }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, - "source": "Use the cluster location to obtain the pixel scale there.\nFirst, get the WCS of the patch and tract where the cluster is located.", + "outputs": [], + "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", "id": "cell-030" }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", + "source": "The default configuration values of this custom skymap for the pixel scale and WCS projection type are not appropriate for LSSTCam.\nThe following cells override these parameters with appropriate values.", "id": "cell-031" }, { "cell_type": "markdown", "metadata": {}, - "source": "Get the data reference for the coadd in the `i` band that contains the cluster center.", + "source": "Use the cluster location to obtain the pixel scale there.\nFirst, get the WCS of the patch and tract where the cluster is located.", "id": "cell-032" }, { @@ -232,13 +232,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[my_band[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", + "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", "id": "cell-033" }, { "cell_type": "markdown", "metadata": {}, - "source": "Get the coadd from the data reference, using `storageClass=\"Exposure\"` (see the note above).", + "source": "Get the data reference for the coadd in the `i` band that contains the cluster center.", "id": "cell-034" }, { @@ -246,13 +246,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "bcg_coadd = butler.get(bcg_data_ref, storageClass=\"Exposure\")", + "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[my_band[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", "id": "cell-035" }, { "cell_type": "markdown", "metadata": {}, - "source": "Get the WCS from the coadd.", + "source": "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\nIn DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\nThe pixel scale is measured as the on-sky separation between two pixels that are one pixel apart.", "id": "cell-036" }, { @@ -260,28 +260,14 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "wcs_bcg = bcg_coadd.getWcs()", + "source": "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n band=my_band[0], skymap=\"lsst_cells_v2\",\n tract=bcg_tract_number, patch=bcg_patch_number)\n\ntarget = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\nxy = coadd_wcs.sky_to_pixel(target)\nsky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\nsky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\nplate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\nprint(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")", "id": "cell-037" }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "Use the plate scale at the cluster location.", - "id": "cell-038" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "plate_scale_bcg = wcs_bcg.getPixelScale(Point2D(bcg_point)).asArcseconds()", - "id": "cell-039" - }, { "cell_type": "markdown", "metadata": {}, "source": "Set the plate scale in the new skymap.", - "id": "cell-040" + "id": "cell-038" }, { "cell_type": "code", @@ -289,13 +275,13 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", - "id": "cell-041" + "id": "cell-039" }, { "cell_type": "markdown", "metadata": {}, "source": "Set the WCS projection type.\nThe WCS of `deep_coadd` images are `TAN` projections ([see the DP2 documentation](https://dp2.lsst.io/)).", - "id": "cell-042" + "id": "cell-040" }, { "cell_type": "code", @@ -303,13 +289,13 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.projection = 'TAN'", - "id": "cell-043" + "id": "cell-041" }, { "cell_type": "markdown", "metadata": {}, "source": "Compute the new skymap.", - "id": "cell-044" + "id": "cell-042" }, { "cell_type": "code", @@ -317,13 +303,13 @@ "metadata": {}, "outputs": [], "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", - "id": "cell-045" + "id": "cell-043" }, { "cell_type": "markdown", "metadata": {}, "source": "Get the new WCS from the single tract discrete skymap.", - "id": "cell-046" + "id": "cell-044" }, { "cell_type": "code", @@ -331,7 +317,7 @@ "metadata": {}, "outputs": [], "source": "new_wcs = new_skymap[0].wcs", - "id": "cell-047" + "id": "cell-045" }, { "cell_type": "code", @@ -339,27 +325,27 @@ "metadata": {}, "outputs": [], "source": "new_wcs", - "id": "cell-048" + "id": "cell-046" }, { "cell_type": "markdown", "metadata": {}, "source": "Create a bounding box in the new WCS coordinates that is centered on the cluster and has the width defined above.", - "id": "cell-049" + "id": "cell-047" }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - box_size_deg,\n dec_bcg - box_size_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + box_size_deg,\n dec_bcg + box_size_deg, degrees))),\n)", - "id": "cell-050" + "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n dec_bcg - dec_half_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n dec_bcg + dec_half_deg, degrees))),\n)", + "id": "cell-048" }, { "cell_type": "markdown", "metadata": {}, "source": "Create a new coadd image in the band defined above (`i`) that is a combination of the inputs contained within the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", - "id": "cell-051" + "id": "cell-049" }, { "cell_type": "code", @@ -367,19 +353,19 @@ "metadata": {}, "outputs": [], "source": "getTemplateTask = GetTemplateTask()\nmapping = sorted_data[my_band[0]]\n\nsmall_box_copy = Box2I(small_box)\nnew_image_i = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=my_band[0],\n)", - "id": "cell-052" + "id": "cell-050" }, { "cell_type": "markdown", "metadata": {}, "source": "## 4. Visualize the custom cutout", - "id": "cell-053" + "id": "cell-051" }, { "cell_type": "markdown", "metadata": {}, "source": "### 4.1. Display with matplotlib", - "id": "cell-054" + "id": "cell-052" }, { "cell_type": "code", @@ -387,7 +373,7 @@ "metadata": {}, "outputs": [], "source": "afwDisplay.setDefaultBackend('matplotlib')", - "id": "cell-055" + "id": "cell-053" }, { "cell_type": "code", @@ -395,13 +381,13 @@ "metadata": {}, "outputs": [], "source": "fig = plt.figure(figsize=(8, 8))\ndisplay = afwDisplay.Display(frame=fig)\ndisplay.scale('asinh', 'zscale')\ndisplay.mtv(new_image_i.template.image)\nplt.show()", - "id": "cell-056" + "id": "cell-054" }, { "cell_type": "markdown", "metadata": {}, "source": "> **Figure 1:** Cutout of the galaxy cluster PSZ2 G309.43-72.86, displayed using `matplotlib` as the backend for `afw.display`. Note that the coordinates are in pixel units.", - "id": "cell-057" + "id": "cell-055" }, { "cell_type": "code", @@ -409,13 +395,13 @@ "metadata": {}, "outputs": [], "source": "new_image_i.template.image.array.shape", - "id": "cell-058" + "id": "cell-056" }, { "cell_type": "markdown", "metadata": {}, "source": "### 4.2. Display with Firefly\n\nFirefly allows for interactive image display and manipulation.\n\nReset the `afwDisplay` backend to be Firefly and start the display.\nA new tab will open, containing the Firefly interface.\nNote that Firefly will use the new WCS information to display the image in celestial coordinates.", - "id": "cell-059" + "id": "cell-057" }, { "cell_type": "code", @@ -423,13 +409,13 @@ "metadata": {}, "outputs": [], "source": "afwDisplay.setDefaultBackend('firefly')\nafw_display = afwDisplay.Display(frame=1)", - "id": "cell-060" + "id": "cell-058" }, { "cell_type": "markdown", "metadata": {}, "source": "Display the image in Firefly.", - "id": "cell-061" + "id": "cell-059" }, { "cell_type": "code", @@ -437,13 +423,13 @@ "metadata": {}, "outputs": [], "source": "afw_display.mtv(new_image_i.template)", - "id": "cell-062" + "id": "cell-060" }, { "cell_type": "markdown", "metadata": {}, "source": "The Firefly default is to visualize the mask plane with colors.\nSet the mask plane transparency to 100, fully transparent, to see only the pixel data.", - "id": "cell-063" + "id": "cell-061" }, { "cell_type": "code", @@ -451,13 +437,13 @@ "metadata": {}, "outputs": [], "source": "afw_display.setMaskTransparency(100)", - "id": "cell-064" + "id": "cell-062" }, { "cell_type": "markdown", "metadata": {}, "source": "### 4.3. Option to save as a FITS file\n\nTo save as a FITS file in the home directory, uncomment (remove the #)\nfrom all lines in the following cell and then execute it.\n\n> **Warning:** Images can take up a lot of disk space. Save and download with caution.", - "id": "cell-065" + "id": "cell-063" }, { "cell_type": "code", @@ -465,18 +451,32 @@ "metadata": {}, "outputs": [], "source": "# import os\n# username = os.environ.get('USER')\n# fnm = '/home/' + username + '/my_big_cutout_dp2_cluster.fits'\n# new_image_i.template.writeFits(fnm)\n# del username, fnm", - "id": "cell-066" + "id": "cell-064" }, { "cell_type": "markdown", "metadata": {}, - "source": "## 5. Compare PSFs\n\nRetrieve the Point Spread Function (PSF) objects for the new big coadd and for the coadd associated with the cluster center.\nCompare the PSF size at the center of the cluster and near one corner of the big coadd region.", + "source": "## 5. Compare PSFs\n\nCompare the Point Spread Function (PSF) of the new big coadd with that of the original `deep_coadd` associated with the cluster center, at the cluster center and at a second location offset from it, to illustrate the spatial variation of the PSF across the mosaic.\n\nFor the original `deep_coadd`, use the DP2 cell-coadd PSF and WCS interfaces (`deep_coadd.psf` and `deep_coadd.sky_projection`), as in the 205-series tutorial on the PSF for `deep_coadd` images.\nThe new big coadd is a legacy afw `Exposure` produced by `GetTemplateTask`, so its PSF is accessed with `getPsf`.\nIn both cases the PSF size is measured as the adaptive-moments sigma of the PSF stamp using `galsim`.", + "id": "cell-065" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Get the original `deep_coadd` (as a cell coadd) and its PSF, WCS, and bounding box.", + "id": "cell-066" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "bcg_coadd = butler.get(bcg_data_ref)\ncoadd_psf = bcg_coadd.psf\ncoadd_wcs = bcg_coadd.sky_projection\ncoadd_bbox = bcg_coadd.bbox", "id": "cell-067" }, { "cell_type": "markdown", "metadata": {}, - "source": "Define the locations.", + "source": "**Function**: `psf_sigma`\n\nMeasure the PSF size (the adaptive-moments sigma, in pixels) from a PSF postage-stamp image with `galsim`, following the 205-series PSF tutorial.", "id": "cell-068" }, { @@ -484,13 +484,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "margin = 0.01\nlocations = [\n (\"center\", bcg_point),\n (\"corner\", SpherePoint(ra_bcg - box_size_deg + margin,\n dec_bcg - box_size_deg + margin, degrees)),\n]", + "source": "def psf_sigma(psf_image_array):\n \"\"\"Return the adaptive-moments sigma (in pixels) of a PSF stamp array.\"\"\"\n gs_image = galsim.Image(np.ascontiguousarray(psf_image_array), scale=1.0)\n return galsim.hsm.FindAdaptiveMom(gs_image, guess_sig=3.0).moments_sigma", "id": "cell-069" }, { "cell_type": "markdown", "metadata": {}, - "source": "Loop over locations and compare the PSF Full Width at Half Maximum (FWHM) size for each one.", + "source": "Define the two comparison locations.\nThe PSF is only defined where input images contribute, so the corners of the rectangular cutout may fall outside the data coverage.\nTo choose a location that is guaranteed to lie within both the original patch and the new mosaic, take the point halfway between the cluster center and the center of its patch (a bounding box is convex, so the midpoint of two interior points is also interior).", "id": "cell-070" }, { @@ -498,8 +498,22 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "SIGMA_TO_FWHM = 2.0*np.sqrt(2.0*np.log(2.0))\nfor label, loc in locations:\n print(f\"Label: {label}\")\n print(f\"Loc: {loc} deg\")\n try:\n center_pix_coadd = wcs_bcg.skyToPixel(loc)\n point_coadd = Point2D(center_pix_coadd)\n coadd_psf = bcg_coadd.getPsf()\n psf_sigma_coadd = coadd_psf.computeShape(point_coadd).getDeterminantRadius()\n\n center_pix_new = new_wcs.skyToPixel(loc)\n point_new = Point2D(center_pix_new)\n newimage_psf = new_image_i.template.getPsf()\n psf_sigma_new = newimage_psf.computeShape(point_new).getDeterminantRadius()\n\n percent_diff = np.abs(psf_sigma_coadd - psf_sigma_new) / psf_sigma_new * 100\n print(f\"{label} coadd_bcg FWHM = {psf_sigma_coadd * SIGMA_TO_FWHM: .3f} pixels\")\n print(f\"{label} newimage FWHM = {psf_sigma_new * SIGMA_TO_FWHM: .3f} pixels\")\n print(f\"{label} percent difference = {percent_diff: .2f}%\\n\")\n except InvalidPsfError as e:\n print(f\"PSF could not be computed at {point_coadd}: {e}\")", + "source": "center = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\ncenter_xy = coadd_wcs.sky_to_pixel(center)\n\npatch_center_x = 0.5 * (coadd_bbox.x.start + coadd_bbox.x.stop)\npatch_center_y = 0.5 * (coadd_bbox.y.start + coadd_bbox.y.stop)\noffset = coadd_wcs.pixel_to_sky(\n x=0.5 * (center_xy.x + patch_center_x),\n y=0.5 * (center_xy.y + patch_center_y))\n\nlocations = [(\"center\", center), (\"offset\", offset)]", "id": "cell-071" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Loop over locations and compare the PSF Full Width at Half Maximum (FWHM) size for each one.", + "id": "cell-072" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "SIGMA_TO_FWHM = 2.0 * np.sqrt(2.0 * np.log(2.0))\ntemplate_psf = new_image_i.template.getPsf()\n\nfor label, coord in locations:\n # Original deep_coadd PSF (DP2 cell-coadd API).\n xy = coadd_wcs.sky_to_pixel(coord)\n coadd_stamp = coadd_psf.compute_kernel_image(x=xy.x, y=xy.y)\n sigma_coadd = psf_sigma(coadd_stamp.array)\n\n # New big coadd PSF (legacy afw Exposure from GetTemplateTask).\n template_point = new_wcs.skyToPixel(\n SpherePoint(coord.ra.deg, coord.dec.deg, degrees))\n template_stamp = template_psf.computeKernelImage(template_point)\n sigma_template = psf_sigma(template_stamp.array)\n\n percent_diff = np.abs(sigma_coadd - sigma_template) / sigma_template * 100\n print(f\"{label}: deep_coadd FWHM = {sigma_coadd * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"new coadd FWHM = {sigma_template * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"difference = {percent_diff: .2f}%\")", + "id": "cell-073" } ], "metadata": { diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb index c73885c5..8e6d15d5 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb @@ -34,7 +34,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "from lsst.daf.butler import Butler\n\nfrom lsst.geom import Box2I, Point2I, Point2D, Extent2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.pipe.tasks.prettyPictureMaker import PrettyPictureTask\nfrom lsst.pipe.tasks.prettyPictureMaker._task import ChannelRGBConfig\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle\n\nimport matplotlib.pyplot as plt", + "source": "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom astropy.coordinates import SkyCoord\nimport astropy.units as u\n\nfrom lsst.daf.butler import Butler\n\nfrom lsst.geom import Box2I, Point2I, Point2D, Extent2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.pipe.tasks.prettyPictureMaker import PrettyPictureTask\nfrom lsst.pipe.tasks.prettyPictureMaker._task import ChannelRGBConfig\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", "id": "cell-004" }, { @@ -46,7 +46,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "**Function**: `display_image_array`\n\nDisplays an RGB image from an array.", + "source": "**Function**: `display_image_array`\n\nDisplays an RGB color image. `PrettyPictureTask` returns its result as an `lsst.images.ColorImage`, whose `.array` attribute is the underlying HxWx3 numpy array; the function accepts either a `ColorImage` or a plain numpy array.", "id": "cell-006" }, { @@ -54,7 +54,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "def display_image_array(image_array, ax=None, figsize=(8, 8), name=None):\n \"\"\"Display an RGB image from array.\n\n Parameters\n ----------\n image_array : np.array\n numpy array HxWx3 that corresponds to an RGB image\n ax : matplotlib.axes.Axes, optional\n Axis to draw on; if None, a new Figure and Axes are created.\n figsize : tuple, optional\n Size of the created `matplotlib.Figure` (ignored if `ax` is provided).\n name : str, optional\n Label to annotate the image.\n \"\"\"\n if ax is None:\n fig = plt.figure(figsize=figsize)\n ax = fig.add_subplot(1, 1, 1)\n\n ax.imshow(image_array, interpolation=\"nearest\", origin=\"lower\")\n ax.axis(\"off\")\n\n if name:\n ax.text(0, 0.95, name, color=\"white\", fontsize=12, ha=\"left\", va=\"top\",\n transform=ax.transAxes)\n\n return", + "source": "def display_image_array(image_array, ax=None, figsize=(8, 8), name=None):\n \"\"\"Display an RGB color image.\n\n Parameters\n ----------\n image_array : `lsst.images.ColorImage` or `numpy.ndarray`\n An RGB color image, either as an ``lsst.images.ColorImage`` (as\n returned by ``PrettyPictureTask``) or as an HxWx3 numpy array.\n ax : matplotlib.axes.Axes, optional\n Axis to draw on; if None, a new Figure and Axes are created.\n figsize : tuple, optional\n Size of the created `matplotlib.Figure` (ignored if `ax` is provided).\n name : str, optional\n Label to annotate the image.\n \"\"\"\n # PrettyPictureTask returns an lsst.images.ColorImage; use its numpy array.\n if hasattr(image_array, \"array\"):\n image_array = image_array.array\n\n if ax is None:\n fig = plt.figure(figsize=figsize)\n ax = fig.add_subplot(1, 1, 1)\n\n ax.imshow(image_array, interpolation=\"nearest\", origin=\"lower\")\n ax.axis(\"off\")\n\n if name:\n ax.text(0, 0.95, name, color=\"white\", fontsize=12, ha=\"left\", va=\"top\",\n transform=ax.transAxes)\n\n return", "id": "cell-007" }, { @@ -108,7 +108,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "### 2.1. `localContrastConfig.doLocalContrast`\n\nThis parameter toggles local-contrast enhancement in the luminance channel. It defaults to `True`; turn it off for small images or faster processing, and keep it on to boost mid-scale detail in extended objects (e.g., subtle spiral arms). When enabled, contrast is enhanced before color mapping, revealing structures that are close in brightness to their surroundings.\n\nFor simplicity and speed, it is disabled here.", + "source": "### 2.1. `doLocalContrast`\n\nThis parameter toggles local-contrast enhancement in the luminance channel. It defaults to `True`; turn it off for small images or faster processing, and keep it on to boost mid-scale detail in extended objects (e.g., subtle spiral arms). When enabled, contrast is enhanced before color mapping, revealing structures that are close in brightness to their surroundings.\n\nIt is disabled here. This is required for the small cutout in Section 3, because local-contrast enhancement is not well-defined on very small stamps.", "id": "cell-015" }, { @@ -116,7 +116,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "pretty_pic_config.localContrastConfig.doLocalContrast = False", + "source": "pretty_pic_config.doLocalContrast = False", "id": "cell-016" }, { @@ -150,7 +150,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "### 2.4. `luminanceConfig.Q`\n\nThis is the asinh softening parameter as defined in [Lupton et al. 2004](https://ui.adsabs.harvard.edu/abs/2004PASP..116..133L/abstract), with `Q` > 0.\nIt controls how rapidly the arcsinh function transitions from a linear regime for faint values to a logarithmic regime for bright values.\nSmaller values make the transition sharper; larger values make it smoother.", + "source": "### 2.4. `luminanceConfig.highlight`, `luminanceConfig.shadow`, `luminanceConfig.midtone`\n\nThese parameters control a tone-mapping function applied after the arcsinh stretch, similar to the highlight, shadow, and midtone sliders in many photo-editing applications.\nThey determine how the luminance values, now scaled to the 0–1 range, are mapped to the final display brightness.\n\nThe `highlight` value sets the luminance level that will be mapped to white, while `shadow` sets the level that will be mapped to black.\nThe `midtone` parameter defines the balance point between white and black, affecting the overall contrast and brightness perception of the image.\nAdjusting these values allows fine-tuning of the tonal balance to emphasize particular brightness ranges without altering the color mapping.", "id": "cell-021" }, { @@ -158,13 +158,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "pretty_pic_config.luminanceConfig.Q = 0.7", + "source": "pretty_pic_config.luminanceConfig.highlight = 0.905882\npretty_pic_config.luminanceConfig.shadow = 0.12\npretty_pic_config.luminanceConfig.midtone = 0.25", "id": "cell-022" }, { "cell_type": "markdown", "metadata": {}, - "source": "### 2.5. `luminanceConfig.highlight`, `luminanceConfig.shadow`, `luminanceConfig.midtone`\n\nThese parameters control a tone-mapping function applied after the arcsinh stretch, similar to the highlight, shadow, and midtone sliders in many photo-editing applications.\nThey determine how the luminance values, now scaled to the 0–1 range, are mapped to the final display brightness.\n\nThe `highlight` value sets the luminance level that will be mapped to white, while `shadow` sets the level that will be mapped to black.\nThe `midtone` parameter defines the balance point between white and black, affecting the overall contrast and brightness perception of the image.\nAdjusting these values allows fine-tuning of the tonal balance to emphasize particular brightness ranges without altering the color mapping.", + "source": "### 2.5. `doPsfDeconvolve`\n\nThis parameter controls whether the image will undergo Point Spread Function (PSF) deconvolution as part of the processing. Setting it to `False` disables PSF deconvolution, which can simplify and speed up the processing, especially for tutorial or exploratory work. When enabled, PSF deconvolution can sharpen features in the image by compensating for the blurring effects of the point-spread function, but it also increases computational complexity and may amplify noise in low signal-to-noise regions.", "id": "cell-023" }, { @@ -172,13 +172,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "pretty_pic_config.luminanceConfig.highlight = 0.905882\npretty_pic_config.luminanceConfig.shadow = 0.12\npretty_pic_config.luminanceConfig.midtone = 0.25", + "source": "pretty_pic_config.doPsfDeconvolve = False", "id": "cell-024" }, { "cell_type": "markdown", "metadata": {}, - "source": "### 2.6. `doPSFDeconcovlve`\n\nThis parameter controls whether the image will undergo Point Spread Function (PSF) deconvolution as part of the processing. Due to a typo in the name, the parameter is spelled `doPSFDeconcovlve` in the code. Setting it to `False` disables PSF deconvolution, which can simplify and speed up the processing, especially for tutorial or exploratory work. When enabled, PSF deconvolution can sharpen features in the image by compensating for the blurring effects of the point-spread function, but it also increases computational complexity and may amplify noise in low signal-to-noise regions.", + "source": "### 2.6. `exposureBracketerConfig.exposureBrackets`\n\nThis parameter enables the use of exposure bracketing, an advanced technique for further compressing the dynamic range of an image. Exposure brackets combine differently scaled versions of the same image to retain detail in both the brightest and faintest regions, similar to high dynamic range (HDR) processing in photography. While powerful, this feature can require careful tuning to achieve the desired visual effect. For simplicity and consistency in this tutorial, it is set to `None`, which disables bracketing and uses a single stretch for the entire image.", "id": "cell-025" }, { @@ -186,13 +186,13 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "pretty_pic_config.doPSFDeconcovlve = False", + "source": "pretty_pic_config.exposureBracketerConfig.exposureBrackets = None", "id": "cell-026" }, { "cell_type": "markdown", "metadata": {}, - "source": "### 2.7. `exposureBrackets`\n\nThis parameter enables the use of exposure bracketing, an advanced technique for further compressing the dynamic range of an image. Exposure brackets combine differently scaled versions of the same image to retain detail in both the brightest and faintest regions, similar to high dynamic range (HDR) processing in photography. While powerful, this feature can require careful tuning to achieve the desired visual effect. For simplicity and consistency in this tutorial, it is set to `None`, which disables bracketing and uses a single stretch for the entire image.", + "source": "### 2.7. `colorConfig.maxChroma` and `colorConfig.saturation`\n\nThese parameters control how color intensity changes with brightness.\nIncreasing `maxChroma` (> 0) and `saturation` produces richer, more vibrant colors compared to the default settings, enhancing visual appeal while preserving the relative color balance of objects in the image.\nThe `saturation` factor ranges from 0 to 1, but values near 1 are not recommended because they can make bright pixels appear overly saturated.", "id": "cell-027" }, { @@ -200,42 +200,28 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "pretty_pic_config.exposureBrackets = None", + "source": "pretty_pic_config.colorConfig.maxChroma = 80\npretty_pic_config.colorConfig.saturation = 0.6", "id": "cell-028" }, { "cell_type": "markdown", "metadata": {}, - "source": "### 2.8. `colorConfig.maxChroma` and `colorConfig.saturation`\n\nThese parameters control how color intensity changes with brightness.\nIncreasing `maxChroma` (> 0) and `saturation` produces richer, more vibrant colors compared to the default settings, enhancing visual appeal while preserving the relative color balance of objects in the image.\nThe `saturation` factor ranges from 0 to 1, but values near 1 are not recommended because they can make bright pixels appear overly saturated.", + "source": "### 2.8. `channelConfig`\n\nThis setting controls how each input band contributes to the red, green, and blue channels of the final RGB image. In the default configuration, the *g* band maps entirely to blue, the *r* band to green, and the *i* band to red, producing a straightforward g–r–i color composite (with the `rgb` values in the [0,1] range).\n\nIt's possible to assign any floating-point weights, allowing a band to contribute to multiple color channels. This can be used to fine-tune color balance or to include additional bands beyond three by mixing them into the RGB channels (e.g., adding *u* to blue and red to simulate violet, or mixing *z* into red). The mapping is applied uniformly across all brightness levels, so object colors remain consistent regardless of brightness. Keeping each band mapped to a single channel is simplest to interpret, but mixing can provide more flexibility and information.", "id": "cell-029" }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "pretty_pic_config.colorConfig.maxChroma = 80\npretty_pic_config.colorConfig.saturation = 0.6", - "id": "cell-030" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "### 2.9. `channelConfig`\n\nThis setting controls how each input band contributes to the red, green, and blue channels of the final RGB image. In the default configuration, the *g* band maps entirely to blue, the *r* band to green, and the *i* band to red, producing a straightforward g–r–i color composite (with the `rgb` values in the [0,1] range).\n\nIt's possible to assign any floating-point weights, allowing a band to contribute to multiple color channels. This can be used to fine-tune color balance or to include additional bands beyond three by mixing them into the RGB channels (e.g., adding *u* to blue and red to simulate violet, or mixing *z* into red). The mapping is applied uniformly across all brightness levels, so object colors remain consistent regardless of brightness. Keeping each band mapped to a single channel is simplest to interpret, but mixing can provide more flexibility and information.", - "id": "cell-031" - }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": "pretty_pic_config.channelConfig = {}\npretty_pic_config.channelConfig[\"g\"] = ChannelRGBConfig(r=0, g=0, b=1)\npretty_pic_config.channelConfig[\"r\"] = ChannelRGBConfig(r=0, g=1, b=0)\npretty_pic_config.channelConfig[\"i\"] = ChannelRGBConfig(r=1, g=0, b=0)", - "id": "cell-032" + "id": "cell-030" }, { "cell_type": "markdown", "metadata": {}, "source": "Define an instance of `PrettyPictureTask` with the configuration file.", - "id": "cell-033" + "id": "cell-031" }, { "cell_type": "code", @@ -243,19 +229,19 @@ "metadata": {}, "outputs": [], "source": "task = PrettyPictureTask(config=pretty_pic_config)", - "id": "cell-034" + "id": "cell-032" }, { "cell_type": "markdown", "metadata": {}, "source": "## 3. Strong-lens candidate cutout\n\nMake a cutout of a strong lens candidate from Euclid data in the Euclid Deep Field South (EDFS) DP2 field.", - "id": "cell-035" + "id": "cell-033" }, { "cell_type": "markdown", "metadata": {}, "source": "Define the approximate coordinates of the lens, in degrees.\nThe coordinates are from [\"Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine\"](https://doi.org/10.5281/zenodo.15025832).\nThis example uses one target, but the workflow is structured to accept a list of positions.", - "id": "cell-036" + "id": "cell-034" }, { "cell_type": "code", @@ -263,13 +249,13 @@ "metadata": {}, "outputs": [], "source": "ra_coordinates = [59.626134]\ndec_coordinates = [-49.06175]", - "id": "cell-037" + "id": "cell-035" }, { "cell_type": "markdown", "metadata": {}, "source": "Define the stamp size, in pixels.", - "id": "cell-038" + "id": "cell-036" }, { "cell_type": "code", @@ -277,13 +263,13 @@ "metadata": {}, "outputs": [], "source": "stamp_size = 32", - "id": "cell-039" + "id": "cell-037" }, { "cell_type": "markdown", "metadata": {}, "source": "Define the photometric bands of the input images used to create the composite color image.", - "id": "cell-040" + "id": "cell-038" }, { "cell_type": "code", @@ -291,13 +277,13 @@ "metadata": {}, "outputs": [], "source": "bands = [\"g\", \"r\", \"i\"]", - "id": "cell-041" + "id": "cell-039" }, { "cell_type": "markdown", "metadata": {}, "source": "Format the bands into a query string.", - "id": "cell-042" + "id": "cell-040" }, { "cell_type": "code", @@ -305,7 +291,7 @@ "metadata": {}, "outputs": [], "source": "bands_str = \",\".join(f\"'{b}'\" for b in bands)", - "id": "cell-043" + "id": "cell-041" }, { "cell_type": "code", @@ -313,13 +299,13 @@ "metadata": {}, "outputs": [], "source": "bands_str", - "id": "cell-044" + "id": "cell-042" }, { "cell_type": "markdown", "metadata": {}, "source": "Find the tract, patch for each of the RA and Dec coordinate pairs (in this case, just one), using the `coord_list_to_tract_patch` function.", - "id": "cell-045" + "id": "cell-043" }, { "cell_type": "code", @@ -327,7 +313,7 @@ "metadata": {}, "outputs": [], "source": "def coord_list_to_tract_patch(coord_list, skymap):\n \"\"\"Create a list of tract, patch pairs for each coordinate in the input list.\n\n Parameters\n ----------\n coord_list : `list` of `lsst.geom.SpherePoint`\n List of coordinates for which the closest tract, patch region is to be\n found.\n skymap : `lsst.skymap.BaseSkymap`\n The skymap from where the tract, patch pairs are to be determined.\n\n Results\n -------\n results : `list` of `tuple` of `int`, `int`\n A list the same length as the input which each element is the closest\n tract patch to the corresponding coordinate. A tuple of -1, -1 will\n be returned if a coordinate can't be attributed to a tract, patch.\n\n Notes\n ----\n The patch number returned is the sequential index used to identify patches\n in the butler.\n \"\"\"\n results = []\n for coord in coord_list:\n tractInfo = skymap.findTract(coord)\n for patchInfo in tractInfo:\n if patchInfo.getInnerSkyPolygon().contains(coord.getVector()):\n results.append((tractInfo.getId(), patchInfo.getSequentialIndex()))\n break\n else:\n results.append((-1, -1))\n return results", - "id": "cell-046" + "id": "cell-044" }, { "cell_type": "code", @@ -335,13 +321,13 @@ "metadata": {}, "outputs": [], "source": "sph_points = [SpherePoint(r, d, degrees) for r, d in zip(ra_coordinates, dec_coordinates)]\nskymap_tract_patch = coord_list_to_tract_patch(sph_points, skymap)", - "id": "cell-047" + "id": "cell-045" }, { "cell_type": "markdown", "metadata": {}, "source": "Sort into tract–patch keys so that all points can be processed in a single tract–patch combination for efficiency. Because of patch overlap regions, `patch` is a list of one or more patches, and the first one is used.", - "id": "cell-048" + "id": "cell-046" }, { "cell_type": "code", @@ -349,19 +335,19 @@ "metadata": {}, "outputs": [], "source": "sorted_tract_patch = {}\nfor i, (tract, patch) in enumerate(skymap_tract_patch):\n container = sorted_tract_patch.setdefault((tract, patch), list())\n container.append(sph_points[i])", - "id": "cell-049" + "id": "cell-047" }, { "cell_type": "markdown", "metadata": {}, "source": "Loop over tract–patch pairs to create RGB images from coadd cutouts.\nFor each patch, the relevant coadd datasets for the requested bands are fetched through the Butler, with duplicates removed using `set`.\nEach coadd is retrieved with `storageClass=\"Exposure\"` so that `getCutout` returns an `ExposureF` (in DP2, the default `deep_coadd` storage class is a cell-based coadd).\nSince all bands in a tract–patch share the same World Coordinate System (WCS), one WCS is used to transform sky coordinates into pixel coordinates.\nFor every target point, a bounding box is defined to extract a cutout from each band image.\nThese cutouts are passed to the `PrettyPictureTask`, which produces an RGB image for display.\n\n**Note**: The `PrettyPictureTask` run method natively takes a dictionary mapping of bands as keys to exposures. However, the task also supports arrays via `task.makeInputsFromArrays`, which can be used if the band data have already been preprocessed into numpy arrays.", - "id": "cell-050" + "id": "cell-048" }, { "cell_type": "markdown", "metadata": {}, "source": ">**Warning**: Fetching cutouts individually can be inefficient because the Butler re-reads the images for every request; for multiple cutouts, it is usually faster to fetch the full image once and then slice it locally.", - "id": "cell-051" + "id": "cell-049" }, { "cell_type": "code", @@ -369,25 +355,25 @@ "metadata": {}, "outputs": [], "source": "for (tract, patch), points in sorted_tract_patch.items():\n lens_refs = list(\n set(\n butler.query_datasets(\n \"deep_coadd\",\n patch=patch,\n tract=tract,\n where=f\"band in ({bands_str})\",\n )\n )\n )\n\n wcs = skymap[tract].wcs\n coadd_dict = {}\n for ref in lens_refs:\n coadd_dict[ref.dataId[\"band\"]] = butler.get(ref, storageClass=\"Exposure\")\n\n for point in points:\n xy = Point2I(wcs.skyToPixel(point))\n cutoutSize = Extent2I(stamp_size, stamp_size)\n bbox = Box2I(xy - cutoutSize // 2, cutoutSize)\n cutouts = {k: exp.getCutout(bbox) for k, exp in coadd_dict.items()}\n rgbImage = task.run(cutouts).outputRGB\n display_image_array(rgbImage, figsize=(8, 4), name=\"EUCLID QR1 Lens Candidate\")", - "id": "cell-052" + "id": "cell-050" }, { "cell_type": "markdown", "metadata": {}, "source": ">**Figure 1**: `gri` color-composite cutout of a Euclid QR1 strong lens candidate in DP2 data.", - "id": "cell-053" + "id": "cell-051" }, { "cell_type": "markdown", "metadata": {}, "source": "## 4. Galaxy cluster big cutout\n\nPSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\nCreate a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts.", - "id": "cell-054" + "id": "cell-052" }, { "cell_type": "markdown", "metadata": {}, "source": "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", - "id": "cell-055" + "id": "cell-053" }, { "cell_type": "code", @@ -395,12 +381,26 @@ "metadata": {}, "outputs": [], "source": "ra_bcg = 10.196\ndec_bcg = -44.134", + "id": "cell-054" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "Define a half-size of 0.1 degrees in declination around the center, so the cutout spans 0.2 degrees on the sky.", + "id": "cell-055" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "box_size_deg = 0.1", "id": "cell-056" }, { "cell_type": "markdown", "metadata": {}, - "source": "Define a box size of 0.1 degrees around the center, then search for all patches within twice that size (`2 * box_size_deg`).", + "source": "To obtain a cutout that is (approximately) square on the sky, widen the extent in right ascension (RA) by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\nWithout this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.", "id": "cell-057" }, { @@ -408,7 +408,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "box_size_deg = 0.1", + "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_size_deg / cos_dec\ndec_half_deg = box_size_deg", "id": "cell-058" }, { @@ -416,7 +416,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "box_region = SphBox.fromDegrees(ra_bcg - box_size_deg, dec_bcg - box_size_deg,\n ra_bcg + box_size_deg, dec_bcg + box_size_deg)\n\ndataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n bind={\"region\": box_region}\n )\n)", + "source": "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)\n\ndataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n bind={\"region\": box_region}\n )\n)", "id": "cell-059" }, { @@ -442,7 +442,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "
\nNote on DP2 storage classes: In DP2, the default storage class of a deep_coadd is a cell-based coadd (lsst.images.cells.CellCoadd), while GetTemplateTask expects ExposureF objects. Retrieve each coadd with storageClass=\"Exposure\" and wrap it in an InMemoryDatasetHandle, then pass the handles to the task through the coaddExposureHandles argument. See the Rubin Community Forum discussion for details.\n
", + "source": "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5).", "id": "cell-063" }, { @@ -488,7 +488,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "Get the WCS from the coadd, using `storageClass=\"Exposure\"` (see the note above).", + "source": "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\nIn DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\nThe pixel scale is measured as the on-sky separation between two pixels that are one pixel apart.", "id": "cell-070" }, { @@ -496,22 +496,14 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "wcs_bcg = butler.get(bcg_data_ref, storageClass=\"Exposure\").getWcs()", + "source": "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n band=bands[0], skymap=\"lsst_cells_v2\",\n tract=bcg_tract_number, patch=bcg_patch_number)\n\ntarget = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\nxy = coadd_wcs.sky_to_pixel(target)\nsky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\nsky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\nplate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\nprint(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")", "id": "cell-071" }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "plate_scale_bcg = wcs_bcg.getPixelScale(Point2D(bcg_point)).asArcseconds()", - "id": "cell-072" - }, { "cell_type": "markdown", "metadata": {}, "source": "Define an instance of the configuration class and override the plate scale.", - "id": "cell-073" + "id": "cell-072" }, { "cell_type": "code", @@ -519,7 +511,7 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", - "id": "cell-074" + "id": "cell-073" }, { "cell_type": "code", @@ -527,13 +519,13 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", - "id": "cell-075" + "id": "cell-074" }, { "cell_type": "markdown", "metadata": {}, "source": "Set the WCS projection. The WCS of `deep_coadd` images are TAN projections ([see the DP2 documentation](https://dp2.lsst.io/)).", - "id": "cell-076" + "id": "cell-075" }, { "cell_type": "code", @@ -541,7 +533,7 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.projection = 'TAN'", - "id": "cell-077" + "id": "cell-076" }, { "cell_type": "code", @@ -549,13 +541,13 @@ "metadata": {}, "outputs": [], "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", - "id": "cell-078" + "id": "cell-077" }, { "cell_type": "markdown", "metadata": {}, "source": "Get the new WCS from the single tract discrete skymap.", - "id": "cell-079" + "id": "cell-078" }, { "cell_type": "code", @@ -563,27 +555,27 @@ "metadata": {}, "outputs": [], "source": "new_wcs = new_skymap[0].wcs", - "id": "cell-080" + "id": "cell-079" }, { "cell_type": "markdown", "metadata": {}, "source": "Create a bounding box in the new WCS coordinates that is centered on the\ncluster and has the width defined above.", - "id": "cell-081" + "id": "cell-080" }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - box_size_deg,\n dec_bcg - box_size_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + box_size_deg,\n dec_bcg + box_size_deg, degrees))),\n)", - "id": "cell-082" + "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n dec_bcg - dec_half_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n dec_bcg + dec_half_deg, degrees))),\n)", + "id": "cell-081" }, { "cell_type": "markdown", "metadata": {}, "source": "Loop over bands to create images that are combinations of the inputs contained\nwithin the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", - "id": "cell-083" + "id": "cell-082" }, { "cell_type": "code", @@ -591,13 +583,13 @@ "metadata": {}, "outputs": [], "source": "getTemplateTask = GetTemplateTask()\ncoadds = {}\nfor band, mapping in sorted_data.items():\n small_box_copy = Box2I(small_box)\n new_image = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=band,\n ).template\n coadds[band] = new_image", - "id": "cell-084" + "id": "cell-083" }, { "cell_type": "markdown", "metadata": {}, "source": "Adjust the `shadow` and `midtone` parameters slightly, and redefine the task so the changes take place.", - "id": "cell-085" + "id": "cell-084" }, { "cell_type": "code", @@ -605,7 +597,7 @@ "metadata": {}, "outputs": [], "source": "pretty_pic_config.luminanceConfig.shadow = 0.15\npretty_pic_config.luminanceConfig.midtone = 0.3", - "id": "cell-086" + "id": "cell-085" }, { "cell_type": "code", @@ -613,13 +605,13 @@ "metadata": {}, "outputs": [], "source": "task = PrettyPictureTask(config=pretty_pic_config)", - "id": "cell-087" + "id": "cell-086" }, { "cell_type": "markdown", "metadata": {}, "source": "Run the task to make the image.", - "id": "cell-088" + "id": "cell-087" }, { "cell_type": "code", @@ -627,13 +619,13 @@ "metadata": {}, "outputs": [], "source": "mosaic_image = task.run(coadds).outputRGB", - "id": "cell-089" + "id": "cell-088" }, { "cell_type": "markdown", "metadata": {}, "source": "Display the image.", - "id": "cell-090" + "id": "cell-089" }, { "cell_type": "code", @@ -641,13 +633,13 @@ "metadata": {}, "outputs": [], "source": "display_image_array(mosaic_image, name=\"PSZ2 G309.43-72.86\")", - "id": "cell-091" + "id": "cell-090" }, { "cell_type": "markdown", "metadata": {}, "source": ">**Figure 2**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86.", - "id": "cell-092" + "id": "cell-091" } ], "metadata": { From 7a8f3fafe378ff0da691ab445dcbea0a946a7ebe Mon Sep 17 00:00:00 2001 From: plazas Date: Fri, 11 Sep 2026 14:19:11 -0400 Subject: [PATCH 3/5] Add gird to test parameters in 103_9 Test parameters --- .../103_9_Custom_color_images.ipynb | 110 +++++++++++------- 1 file changed, 69 insertions(+), 41 deletions(-) diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb index 8e6d15d5..52abb49e 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb @@ -366,14 +366,42 @@ { "cell_type": "markdown", "metadata": {}, - "source": "## 4. Galaxy cluster big cutout\n\nPSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\nCreate a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts.", + "source": "### 3.1. Explore the stretch and black-point parameters\n\nThe appearance of the composite depends strongly on `imageRemappingConfig.absMax` (the input flux mapped to white) and `luminanceConfig.shadow` (the luminance level mapped to black).\nScan a grid of the Euclid cutout over a wide range of both parameters to find the combination that looks best.\nThe `build_pretty_config` function returns a configuration with the given `absMax` and `shadow`; the remaining parameters are fixed at sensible values (note `doLocalContrast=True`, `stretch=2000`, `highlight=0.2`, and `saturation=0.3`, which differ from the Section 2 defaults).\nThe cutouts computed in the loop above are reused, and a fresh configuration is built for each combination so the shared `pretty_pic_config` (used in Section 4) is left unchanged.", "id": "cell-052" }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "absmaxes = [50, 100, 200, 400, 800, 1600, 3200]\nshadows = [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]\n\n\ndef build_pretty_config(abs_max, shadow):\n \"\"\"Return a PrettyPictureTask config with the given absMax and shadow.\"\"\"\n config = PrettyPictureTask.ConfigClass()\n config.doLocalContrast = True\n config.imageRemappingConfig.absMax = abs_max\n config.luminanceConfig.stretch = 2000\n config.luminanceConfig.highlight = 0.2\n config.luminanceConfig.shadow = shadow\n config.luminanceConfig.midtone = 0.25\n config.doPsfDeconvolve = False\n config.exposureBracketerConfig.exposureBrackets = None\n config.colorConfig.maxChroma = 80\n config.colorConfig.saturation = 0.3\n config.channelConfig = {\n \"g\": ChannelRGBConfig(r=0, g=0, b=1),\n \"r\": ChannelRGBConfig(r=0, g=1, b=0),\n \"i\": ChannelRGBConfig(r=1, g=0, b=0),\n }\n return config", + "id": "cell-053" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "fig, axes = plt.subplots(len(absmaxes), len(shadows),\n figsize=(2.4 * len(shadows), 2.4 * len(absmaxes)))\nfor i, abs_max in enumerate(absmaxes):\n for j, shadow in enumerate(shadows):\n grid_task = PrettyPictureTask(config=build_pretty_config(abs_max, shadow))\n rgb = grid_task.run(cutouts).outputRGB\n display_image_array(rgb, ax=axes[i, j])\n axes[i, j].set_title(f\"absMax={abs_max}, shadow={shadow}\", fontsize=9)\nplt.tight_layout()\nplt.show()", + "id": "cell-054" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": ">**Figure 2**: Grid of the Euclid QR1 strong lens cutout over a range of `absMax` (rows) and `shadow` (columns) values.", + "id": "cell-055" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## 4. Galaxy cluster big cutout\n\nPSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\nCreate a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts.", + "id": "cell-056" + }, { "cell_type": "markdown", "metadata": {}, "source": "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", - "id": "cell-053" + "id": "cell-057" }, { "cell_type": "code", @@ -381,13 +409,13 @@ "metadata": {}, "outputs": [], "source": "ra_bcg = 10.196\ndec_bcg = -44.134", - "id": "cell-054" + "id": "cell-058" }, { "cell_type": "markdown", "metadata": {}, "source": "Define a half-size of 0.1 degrees in declination around the center, so the cutout spans 0.2 degrees on the sky.", - "id": "cell-055" + "id": "cell-059" }, { "cell_type": "code", @@ -395,13 +423,13 @@ "metadata": {}, "outputs": [], "source": "box_size_deg = 0.1", - "id": "cell-056" + "id": "cell-060" }, { "cell_type": "markdown", "metadata": {}, "source": "To obtain a cutout that is (approximately) square on the sky, widen the extent in right ascension (RA) by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\nWithout this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.", - "id": "cell-057" + "id": "cell-061" }, { "cell_type": "code", @@ -409,7 +437,7 @@ "metadata": {}, "outputs": [], "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_size_deg / cos_dec\ndec_half_deg = box_size_deg", - "id": "cell-058" + "id": "cell-062" }, { "cell_type": "code", @@ -417,13 +445,13 @@ "metadata": {}, "outputs": [], "source": "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)\n\ndataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n bind={\"region\": box_region}\n )\n)", - "id": "cell-059" + "id": "cell-063" }, { "cell_type": "markdown", "metadata": {}, "source": "Prepare the inputs for building a custom skymap.\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define a skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", - "id": "cell-060" + "id": "cell-064" }, { "cell_type": "code", @@ -431,37 +459,37 @@ "metadata": {}, "outputs": [], "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", - "id": "cell-061" + "id": "cell-065" }, { "cell_type": "markdown", "metadata": {}, "source": "The goal is to create an image of an arbitrary sky region that is not aligned with the native LSST sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single WCS that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box.\nThe `GetTemplateTask` creates coadds for each band, which are then combined into a final RGB mosaic.", - "id": "cell-062" + "id": "cell-066" }, { "cell_type": "markdown", "metadata": {}, "source": "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5).", - "id": "cell-063" + "id": "cell-067" }, { "cell_type": "markdown", "metadata": {}, "source": "First, make a skymap which contains all input data using the `MakeDiscreteSkyMapTask()` task.", - "id": "cell-064" + "id": "cell-068" }, { "cell_type": "markdown", "metadata": {}, "source": "Override the default `MakeDiscreteSkyMapTask()` configuration values and replace them with those appropriate for LSSTCam, in particular the pixel scale and the World Coordinate System (WCS) projection.", - "id": "cell-065" + "id": "cell-069" }, { "cell_type": "markdown", "metadata": {}, "source": "Use the cluster location to obtain the pixel scale.\nFirst, get the WCS of the patch and tract where the cluster is located.", - "id": "cell-066" + "id": "cell-070" }, { "cell_type": "code", @@ -469,13 +497,13 @@ "metadata": {}, "outputs": [], "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", - "id": "cell-067" + "id": "cell-071" }, { "cell_type": "markdown", "metadata": {}, "source": "Get the data reference for the coadd in the `g` band that contains the cluster center.", - "id": "cell-068" + "id": "cell-072" }, { "cell_type": "code", @@ -483,13 +511,13 @@ "metadata": {}, "outputs": [], "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[bands[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", - "id": "cell-069" + "id": "cell-073" }, { "cell_type": "markdown", "metadata": {}, "source": "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\nIn DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\nThe pixel scale is measured as the on-sky separation between two pixels that are one pixel apart.", - "id": "cell-070" + "id": "cell-074" }, { "cell_type": "code", @@ -497,13 +525,13 @@ "metadata": {}, "outputs": [], "source": "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n band=bands[0], skymap=\"lsst_cells_v2\",\n tract=bcg_tract_number, patch=bcg_patch_number)\n\ntarget = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\nxy = coadd_wcs.sky_to_pixel(target)\nsky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\nsky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\nplate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\nprint(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")", - "id": "cell-071" + "id": "cell-075" }, { "cell_type": "markdown", "metadata": {}, "source": "Define an instance of the configuration class and override the plate scale.", - "id": "cell-072" + "id": "cell-076" }, { "cell_type": "code", @@ -511,7 +539,7 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", - "id": "cell-073" + "id": "cell-077" }, { "cell_type": "code", @@ -519,13 +547,13 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", - "id": "cell-074" + "id": "cell-078" }, { "cell_type": "markdown", "metadata": {}, "source": "Set the WCS projection. The WCS of `deep_coadd` images are TAN projections ([see the DP2 documentation](https://dp2.lsst.io/)).", - "id": "cell-075" + "id": "cell-079" }, { "cell_type": "code", @@ -533,7 +561,7 @@ "metadata": {}, "outputs": [], "source": "discrete_skymap_config.skyMap.projection = 'TAN'", - "id": "cell-076" + "id": "cell-080" }, { "cell_type": "code", @@ -541,13 +569,13 @@ "metadata": {}, "outputs": [], "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", - "id": "cell-077" + "id": "cell-081" }, { "cell_type": "markdown", "metadata": {}, "source": "Get the new WCS from the single tract discrete skymap.", - "id": "cell-078" + "id": "cell-082" }, { "cell_type": "code", @@ -555,13 +583,13 @@ "metadata": {}, "outputs": [], "source": "new_wcs = new_skymap[0].wcs", - "id": "cell-079" + "id": "cell-083" }, { "cell_type": "markdown", "metadata": {}, "source": "Create a bounding box in the new WCS coordinates that is centered on the\ncluster and has the width defined above.", - "id": "cell-080" + "id": "cell-084" }, { "cell_type": "code", @@ -569,13 +597,13 @@ "metadata": {}, "outputs": [], "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n dec_bcg - dec_half_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n dec_bcg + dec_half_deg, degrees))),\n)", - "id": "cell-081" + "id": "cell-085" }, { "cell_type": "markdown", "metadata": {}, "source": "Loop over bands to create images that are combinations of the inputs contained\nwithin the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", - "id": "cell-082" + "id": "cell-086" }, { "cell_type": "code", @@ -583,13 +611,13 @@ "metadata": {}, "outputs": [], "source": "getTemplateTask = GetTemplateTask()\ncoadds = {}\nfor band, mapping in sorted_data.items():\n small_box_copy = Box2I(small_box)\n new_image = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=band,\n ).template\n coadds[band] = new_image", - "id": "cell-083" + "id": "cell-087" }, { "cell_type": "markdown", "metadata": {}, "source": "Adjust the `shadow` and `midtone` parameters slightly, and redefine the task so the changes take place.", - "id": "cell-084" + "id": "cell-088" }, { "cell_type": "code", @@ -597,7 +625,7 @@ "metadata": {}, "outputs": [], "source": "pretty_pic_config.luminanceConfig.shadow = 0.15\npretty_pic_config.luminanceConfig.midtone = 0.3", - "id": "cell-085" + "id": "cell-089" }, { "cell_type": "code", @@ -605,13 +633,13 @@ "metadata": {}, "outputs": [], "source": "task = PrettyPictureTask(config=pretty_pic_config)", - "id": "cell-086" + "id": "cell-090" }, { "cell_type": "markdown", "metadata": {}, "source": "Run the task to make the image.", - "id": "cell-087" + "id": "cell-091" }, { "cell_type": "code", @@ -619,13 +647,13 @@ "metadata": {}, "outputs": [], "source": "mosaic_image = task.run(coadds).outputRGB", - "id": "cell-088" + "id": "cell-092" }, { "cell_type": "markdown", "metadata": {}, "source": "Display the image.", - "id": "cell-089" + "id": "cell-093" }, { "cell_type": "code", @@ -633,13 +661,13 @@ "metadata": {}, "outputs": [], "source": "display_image_array(mosaic_image, name=\"PSZ2 G309.43-72.86\")", - "id": "cell-090" + "id": "cell-094" }, { "cell_type": "markdown", "metadata": {}, - "source": ">**Figure 2**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86.", - "id": "cell-091" + "source": ">**Figure 3**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86.", + "id": "cell-095" } ], "metadata": { From 6c2e072a8243755de677060bce42263856462003 Mon Sep 17 00:00:00 2001 From: plazas Date: Sat, 19 Sep 2026 22:25:28 -0400 Subject: [PATCH 4/5] Comments by MLG --- .../103_8_Multi_coadd_mosaic.ipynb | 35 +++++++++++++++---- .../103_9_Custom_color_images.ipynb | 8 ++--- 2 files changed, 33 insertions(+), 10 deletions(-) diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb index 70976b5a..a8873b60 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb @@ -54,7 +54,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "butler = Butler(\"dp2\", collections=\"dp2\")\nassert butler is not None", + "source": "butler = Butler(\"dp2\", collections=\"dp2\")", "id": "cell-007" }, { @@ -94,7 +94,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "Define a half-size of 0.1 degrees in declination around the center, so the cutout spans 0.2 degrees on the sky.", + "source": "Define a half-width of 0.1 degrees from the cluster center in declination, so the cutout spans 0.2 degrees on the sky (twice the half-width).", "id": "cell-013" }, { @@ -102,7 +102,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "box_size_deg = 0.1", + "source": "box_half_size_deg = 0.1", "id": "cell-014" }, { @@ -116,7 +116,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_size_deg / cos_dec\ndec_half_deg = box_size_deg", + "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_half_size_deg / cos_dec\ndec_half_deg = box_half_size_deg", "id": "cell-016" }, { @@ -358,13 +358,13 @@ { "cell_type": "markdown", "metadata": {}, - "source": "## 4. Visualize the custom cutout", + "source": "## 4. Visualize the custom cutout\n\nVisualize the new multi-patch cutout, first as a static image with `matplotlib` and then interactively with Firefly.", "id": "cell-051" }, { "cell_type": "markdown", "metadata": {}, - "source": "### 4.1. Display with matplotlib", + "source": "### 4.1. Display with matplotlib\n\nSet the `afwDisplay` backend to `matplotlib`.", "id": "cell-052" }, { @@ -375,6 +375,12 @@ "source": "afwDisplay.setDefaultBackend('matplotlib')", "id": "cell-053" }, + { + "cell_type": "markdown", + "id": "cell-s41-display", + "metadata": {}, + "source": "Display the template image using an asinh stretch with zscale limits." + }, { "cell_type": "code", "execution_count": null, @@ -439,6 +445,17 @@ "source": "afw_display.setMaskTransparency(100)", "id": "cell-062" }, + { + "cell_type": "markdown", + "id": "cell-firefly-fig", + "metadata": {}, + "attachments": { + "firefly.png": { + "image/png": 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" + } + }, + "source": "The displayed image should look like this.\n\n
\n\n![firefly.png](attachment:firefly.png)\n\n
\n\n> **Figure 2:** The multi-patch cutout of PSZ2 G309.43-72.86 displayed in Firefly. Firefly uses the new WCS to show the image in celestial coordinates, and the mask plane has been set fully transparent so only the pixel data are shown." + }, { "cell_type": "markdown", "metadata": {}, @@ -514,6 +531,12 @@ "outputs": [], "source": "SIGMA_TO_FWHM = 2.0 * np.sqrt(2.0 * np.log(2.0))\ntemplate_psf = new_image_i.template.getPsf()\n\nfor label, coord in locations:\n # Original deep_coadd PSF (DP2 cell-coadd API).\n xy = coadd_wcs.sky_to_pixel(coord)\n coadd_stamp = coadd_psf.compute_kernel_image(x=xy.x, y=xy.y)\n sigma_coadd = psf_sigma(coadd_stamp.array)\n\n # New big coadd PSF (legacy afw Exposure from GetTemplateTask).\n template_point = new_wcs.skyToPixel(\n SpherePoint(coord.ra.deg, coord.dec.deg, degrees))\n template_stamp = template_psf.computeKernelImage(template_point)\n sigma_template = psf_sigma(template_stamp.array)\n\n percent_diff = np.abs(sigma_coadd - sigma_template) / sigma_template * 100\n print(f\"{label}: deep_coadd FWHM = {sigma_coadd * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"new coadd FWHM = {sigma_template * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"difference = {percent_diff: .2f}%\")", "id": "cell-073" + }, + { + "cell_type": "markdown", + "id": "cell-s5-interp", + "metadata": {}, + "source": "The two PSF FWHM values agree to well within a percent at each location. This small, nonzero difference is expected: the new big coadd is not a copy of the original `deep_coadd` pixels, but a resampling of the input coadds onto the new discrete-skymap WCS. Warping to this new pixel grid interpolates the pixel values, which slightly alters the measured PSF even at the same sky coordinate. The sub-percent agreement therefore confirms that `GetTemplateTask` preserves the PSF to high accuracy when building the mosaic; a large difference, by contrast, would point to a problem with the warping or the input data." } ], "metadata": { diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb index 52abb49e..cb33f3be 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb @@ -68,7 +68,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "butler = Butler(\"dp2\", collections=\"dp2\")\nassert butler is not None", + "source": "butler = Butler(\"dp2\", collections=\"dp2\")", "id": "cell-009" }, { @@ -414,7 +414,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "Define a half-size of 0.1 degrees in declination around the center, so the cutout spans 0.2 degrees on the sky.", + "source": "Define a half-width of 0.1 degrees from the cluster center in declination, so the cutout spans 0.2 degrees on the sky (twice the half-width).", "id": "cell-059" }, { @@ -422,7 +422,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "box_size_deg = 0.1", + "source": "box_half_size_deg = 0.1", "id": "cell-060" }, { @@ -436,7 +436,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_size_deg / cos_dec\ndec_half_deg = box_size_deg", + "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_half_size_deg / cos_dec\ndec_half_deg = box_half_size_deg", "id": "cell-062" }, { From 3f88e627d8c41f8f455d191e8f77420fb1da073f Mon Sep 17 00:00:00 2001 From: plazas Date: Mon, 21 Sep 2026 16:17:02 +0000 Subject: [PATCH 5/5] Update --- .../103_8_Multi_coadd_mosaic.ipynb | 680 ++++++++++---- .../103_9_Custom_color_images.ipynb | 863 +++++++++++++----- 2 files changed, 1151 insertions(+), 392 deletions(-) diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb index a8873b60..010ad73e 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_8_Multi_coadd_mosaic.ipynb @@ -9,534 +9,908 @@ "cell_type": "markdown", "id": "e0de3506-06ec-4f46-92b3-a6f01753d9fc", "metadata": {}, - "source": "# 103.8. Multi-coadd mosaic cutouts\n\n
\n\n![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n\n
\n\nFor the Rubin Science Platform at data.lsst.cloud.\\\nData Release: [Data Preview 2](https://dp2.lsst.io/)\\\nContainer Size: Large\\\nLSST Science Pipelines version: r30.0.11\\\nLast verified to run: 2026-09-10\\\nRepository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\nDOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + "source": [ + "# 103.8. Multi-coadd mosaic cutouts\n", + "\n", + "
\n", + "\n", + "![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n", + "\n", + "
\n", + "\n", + "For the Rubin Science Platform at data.lsst.cloud.\\\n", + "Data Release: [Data Preview 2](https://dp2.lsst.io/)\\\n", + "Container Size: Large\\\n", + "LSST Science Pipelines version: r30.0.11\\\n", + "Last verified to run: 2026-09-21\\\n", + "Repository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\n", + "DOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + ] }, { "cell_type": "markdown", + "id": "cell-001", "metadata": {}, - "source": "**Learning objective:** Create a large, custom `deep_coadd` cutout that spans multiple patches (and possibly tracts).\n\n**LSST data products:** `deep_coadd`.\n\n**Packages:** `lsst.daf.butler`, `lsst.ip.diffim.GetTemplateTask`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`.\n\n**Credit:** Originally developed by Andrés A. Plazas Malagón and the Rubin Community Science team with input from Nate Lust. Adapted for DP2 by the Rubin Community Science team.\nPlease consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n\n**Get Support:**\nEveryone is encouraged to ask questions or raise issues in the\nSupport Category\nof the Rubin Community Forum.\nRubin staff will respond to all questions posted there.", - "id": "cell-001" + "source": [ + "**Learning objective:** Create a large, custom `deep_coadd` cutout that spans multiple patches (and possibly tracts).\n", + "\n", + "**LSST data products:** `deep_coadd`.\n", + "\n", + "**Packages:** `lsst.daf.butler`, `lsst.ip.diffim.GetTemplateTask`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`.\n", + "\n", + "**Credit:** Originally developed by Andrés A. Plazas Malagón and the Rubin Community Science team with input from Nate Lust. Adapted for DP2 by the Rubin Community Science team.\n", + "Please consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n", + "\n", + "**Get Support:**\n", + "Everyone is encouraged to ask questions or raise issues in the\n", + "Support Category\n", + "of the Rubin Community Forum.\n", + "Rubin staff will respond to all questions posted there." + ] }, { "cell_type": "markdown", + "id": "cell-002", "metadata": {}, - "source": "## 1. Introduction\n\nThis tutorial demonstrates how to create a large, custom cutout from the LSST `deep_coadd` images using the Rubin Science Platform (RSP) and the LSST Science Pipelines, defining an arbitrary sky region larger than a single coadd patch.\nThe workflow follows a process similar to template generation in alert production, using `GetTemplateTask` to assemble input exposures into a single image defined by a user-specified World Coordinate System (WCS) and bounding box.\n\nThe galaxy cluster PSZ2 G309.43-72.86, a Sunyaev-Zel'dovich-selected cluster at redshift $z = 0.35$ in the ELAIS-S1 deep drilling field, is used as an example. Its angular extent is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n\n**Related tutorials:** The 103-series tutorial on making custom color images uses this same multi-patch cutout technique.", - "id": "cell-002" + "source": [ + "## 1. Introduction\n", + "\n", + "This tutorial demonstrates how to create a large, custom cutout from the LSST `deep_coadd` images using the Rubin Science Platform (RSP) and the LSST Science Pipelines, defining an arbitrary sky region larger than a single coadd patch.\n", + "The workflow follows a process similar to template generation in alert production, using `GetTemplateTask` to assemble input exposures into a single image defined by a user-specified World Coordinate System (WCS) and bounding box.\n", + "\n", + "The galaxy cluster PSZ2 G309.43-72.86, a Sunyaev-Zel'dovich-selected cluster at redshift $z = 0.35$ in the ELAIS-S1 deep drilling field, is used as an example. Its angular extent is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n", + "\n", + "**Related tutorials:** The 103-series tutorial on making custom color images uses this same multi-patch cutout technique." + ] }, { "cell_type": "markdown", + "id": "cell-003", "metadata": {}, - "source": "### 1.1. Import packages\n\n`GetTemplateTask` (`lsst.ip.diffim`) retrieves template images for image differencing, while `MakeDiscreteSkyMapTask` (`lsst.pipe.tasks.makeDiscreteSkyMap`) generates a discrete sky map for defining sky coverage. `InMemoryDatasetHandle` (`lsst.pipe.base`) wraps in-memory exposures so they can be passed to the task (see Section 3). `galsim` is used to measure the PSF size (Section 5).", - "id": "cell-003" + "source": [ + "### 1.1. Import packages\n", + "\n", + "`GetTemplateTask` (`lsst.ip.diffim`) retrieves template images for image differencing, while `MakeDiscreteSkyMapTask` (`lsst.pipe.tasks.makeDiscreteSkyMap`) generates a discrete sky map for defining sky coverage. `InMemoryDatasetHandle` (`lsst.pipe.base`) wraps in-memory exposures so they can be passed to the task (see Section 3). `galsim` is used to measure the PSF size (Section 5)." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-004", "metadata": {}, "outputs": [], - "source": "import numpy as np\nimport matplotlib.pyplot as plt\nimport galsim\n\nfrom astropy.coordinates import SkyCoord\nimport astropy.units as u\n\nfrom lsst.daf.butler import Butler\nimport lsst.afw.display as afwDisplay\n\nfrom lsst.geom import Box2I, Point2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", - "id": "cell-004" + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import galsim\n", + "\n", + "from astropy.coordinates import SkyCoord\n", + "import astropy.units as u\n", + "\n", + "from lsst.daf.butler import Butler\n", + "import lsst.afw.display as afwDisplay\n", + "\n", + "from lsst.geom import Box2I, Point2I, SpherePoint, degrees\n", + "from lsst.sphgeom import Box as SphBox\n", + "\n", + "from lsst.ip.diffim import GetTemplateTask\n", + "from lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\n", + "from lsst.pipe.base import InMemoryDatasetHandle" + ] }, { "cell_type": "markdown", + "id": "cell-005", "metadata": {}, - "source": "### 1.2. Define parameters and functions", - "id": "cell-005" + "source": [ + "### 1.2. Define parameters and functions" + ] }, { "cell_type": "markdown", + "id": "cell-006", "metadata": {}, - "source": "Instantiate the butler.", - "id": "cell-006" + "source": [ + "Instantiate the butler." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-007", "metadata": {}, "outputs": [], - "source": "butler = Butler(\"dp2\", collections=\"dp2\")", - "id": "cell-007" + "source": [ + "butler = Butler(\"dp2\", collections=\"dp2\")" + ] }, { "cell_type": "markdown", + "id": "cell-008", "metadata": {}, - "source": "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap.", - "id": "cell-008" + "source": [ + "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-009", "metadata": {}, "outputs": [], - "source": "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")", - "id": "cell-009" + "source": [ + "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")" + ] }, { "cell_type": "markdown", + "id": "cell-010", "metadata": {}, - "source": "## 2. Prepare to create the cutout", - "id": "cell-010" + "source": [ + "## 2. Prepare to create the cutout" + ] }, { "cell_type": "markdown", + "id": "cell-011", "metadata": {}, - "source": "Use the galaxy cluster PSZ2 G309.43-72.86, a rich cluster at redshift 0.35 that is included in the DP2 data release in the ELAIS-S1 field.\nThe angular extent of the cluster is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n\nDefine the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", - "id": "cell-011" + "source": [ + "Use the galaxy cluster PSZ2 G309.43-72.86, a rich cluster at redshift 0.35 that is included in the DP2 data release in the ELAIS-S1 field.\n", + "The angular extent of the cluster is larger than a single coadd patch, so creating a large cutout is necessary to capture the full cluster within a single image.\n", + "\n", + "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-012", "metadata": {}, "outputs": [], - "source": "ra_bcg = 10.196\ndec_bcg = -44.134", - "id": "cell-012" + "source": [ + "ra_bcg = 10.196\n", + "dec_bcg = -44.134" + ] }, { "cell_type": "markdown", + "id": "cell-013", "metadata": {}, - "source": "Define a half-width of 0.1 degrees from the cluster center in declination, so the cutout spans 0.2 degrees on the sky (twice the half-width).", - "id": "cell-013" + "source": [ + "Define a half-width of 0.1 degrees from the cluster center in declination, so the cutout spans 0.2 degrees on the sky (twice the half-width)." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-014", "metadata": {}, "outputs": [], - "source": "box_half_size_deg = 0.1", - "id": "cell-014" + "source": [ + "box_half_size_deg = 0.1" + ] }, { "cell_type": "markdown", + "id": "cell-015", "metadata": {}, - "source": "To obtain a cutout that is (approximately) square on the sky, the extent in right ascension (RA) must be widened by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\nWithout this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.\nDefine the RA and Dec half-widths accordingly.", - "id": "cell-015" + "source": [ + "To obtain a cutout that is (approximately) square on the sky, the extent in right ascension (RA) must be widened by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\n", + "Without this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.\n", + "Define the RA and Dec half-widths accordingly." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-016", "metadata": {}, "outputs": [], - "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_half_size_deg / cos_dec\ndec_half_deg = box_half_size_deg", - "id": "cell-016" + "source": [ + "cos_dec = np.cos(np.radians(dec_bcg))\n", + "ra_half_deg = box_half_size_deg / cos_dec\n", + "dec_half_deg = box_half_size_deg" + ] }, { "cell_type": "markdown", + "id": "cell-017", "metadata": {}, - "source": "Define the region from where the `deep_coadd` dataset references will be retrieved.", - "id": "cell-017" + "source": [ + "Define the region from where the `deep_coadd` dataset references will be retrieved." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-018", "metadata": {}, "outputs": [], - "source": "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)", - "id": "cell-018" + "source": [ + "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n", + " ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)" + ] }, { "cell_type": "markdown", + "id": "cell-019", "metadata": {}, - "source": "Get the dataset references in the `i` band.", - "id": "cell-019" + "source": [ + "Get the dataset references in the `i` band." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-020", "metadata": {}, "outputs": [], - "source": "my_band = ['i']", - "id": "cell-020" + "source": [ + "my_band = ['i']" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-021", "metadata": {}, "outputs": [], - "source": "dataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ('{my_band[0]}')\",\n bind={\"region\": box_region}\n )\n)", - "id": "cell-021" + "source": [ + "dataset_refs = set(\n", + " butler.query_datasets(\n", + " \"deep_coadd\",\n", + " where=f\"patch.region OVERLAPS(region) and band in ('{my_band[0]}')\",\n", + " bind={\"region\": box_region}\n", + " )\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-022", "metadata": {}, - "source": "Inspect the references for the `deep_coadd`s, corresponding to different patches in the region.", - "id": "cell-022" + "source": [ + "Inspect the references for the `deep_coadd`s, corresponding to different patches in the region." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-023", "metadata": {}, "outputs": [], - "source": "dataset_refs", - "id": "cell-023" + "source": [ + "dataset_refs" + ] }, { "cell_type": "markdown", + "id": "cell-024", "metadata": {}, - "source": "## 3. Create the cutout", - "id": "cell-024" + "source": [ + "## 3. Create the cutout" + ] }, { "cell_type": "markdown", + "id": "cell-025", "metadata": {}, - "source": "Create an image of an arbitrary sky region that is not aligned with the native Legacy Survey of Space and Time (LSST) sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code (`GetTemplateTask`) can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single astrometric solution or World Coordinate System (WCS) that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA new and custom discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box. The `GetTemplateTask` creates coadds for each band.", - "id": "cell-025" + "source": [ + "Create an image of an arbitrary sky region that is not aligned with the native Legacy Survey of Space and Time (LSST) sky tessellation.\n", + "This is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\n", + "The same template-generation code (`GetTemplateTask`) can be used to transform input data aligned on the LSST tessellation into the required geometry.\n", + "\n", + "To use the template code, a single astrometric solution or World Coordinate System (WCS) that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\n", + "A new and custom discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\n", + "A bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n", + "\n", + "With this setup, images are generated per band by combining the inputs that fall within the bounding box. The `GetTemplateTask` creates coadds for each band." + ] }, { "cell_type": "markdown", + "id": "cell-026", "metadata": {}, - "source": "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5).", - "id": "cell-026" + "source": [ + "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5)." + ] }, { "cell_type": "markdown", + "id": "cell-027", "metadata": {}, - "source": "Prepare the inputs for building the custom skymap.\n\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define the custom skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", - "id": "cell-027" + "source": [ + "Prepare the inputs for building the custom skymap.\n", + "\n", + "For each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define the custom skymap that includes only the data in use.\n", + "At the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\n", + "Each tract key contains all the dataset refs for that tract band combination." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-028", "metadata": {}, "outputs": [], - "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", - "id": "cell-028" + "source": [ + "position_container = []\n", + "sorted_data = {}\n", + "for ds_ref in dataset_refs:\n", + " did = ds_ref.dataId\n", + "\n", + " patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n", + " position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n", + "\n", + " band_container = sorted_data.setdefault(did[\"band\"], dict())\n", + " tract_container = band_container.setdefault(did[\"tract\"], list())\n", + " tract_container.append(ds_ref)" + ] }, { "cell_type": "markdown", + "id": "cell-029", "metadata": {}, - "source": "Make a skymap that contains all input data.", - "id": "cell-029" + "source": [ + "Make a skymap that contains all input data." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-030", "metadata": {}, "outputs": [], - "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", - "id": "cell-030" + "source": [ + "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()" + ] }, { "cell_type": "markdown", + "id": "cell-031", "metadata": {}, - "source": "The default configuration values of this custom skymap for the pixel scale and WCS projection type are not appropriate for LSSTCam.\nThe following cells override these parameters with appropriate values.", - "id": "cell-031" + "source": [ + "The default configuration values of this custom skymap for the pixel scale and WCS projection type are not appropriate for LSSTCam.\n", + "The following cells override these parameters with appropriate values." + ] }, { "cell_type": "markdown", + "id": "cell-032", "metadata": {}, - "source": "Use the cluster location to obtain the pixel scale there.\nFirst, get the WCS of the patch and tract where the cluster is located.", - "id": "cell-032" + "source": [ + "Use the cluster location to obtain the pixel scale there.\n", + "First, get the WCS of the patch and tract where the cluster is located." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-033", "metadata": {}, "outputs": [], - "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", - "id": "cell-033" + "source": [ + "bcg_point = SpherePoint(ra_bcg * degrees,\n", + " dec_bcg * degrees)\n", + "bcg_tract = skymap.findTract(bcg_point)\n", + "bcg_patch = bcg_tract.findPatch(bcg_point)\n", + "\n", + "bcg_tract_number = bcg_tract.tract_id\n", + "bcg_patch_number = bcg_patch.getSequentialIndex()\n", + "print(bcg_tract_number, bcg_patch_number)" + ] }, { "cell_type": "markdown", + "id": "cell-034", "metadata": {}, - "source": "Get the data reference for the coadd in the `i` band that contains the cluster center.", - "id": "cell-034" + "source": [ + "Get the data reference for the coadd in the `i` band that contains the cluster center." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-035", "metadata": {}, "outputs": [], - "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[my_band[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", - "id": "cell-035" + "source": [ + "bcg_data_ref = next(\n", + " ref\n", + " for ref in sorted_data[my_band[0]][bcg_tract_number]\n", + " if ref.dataId[\"patch\"] == bcg_patch_number\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-036", "metadata": {}, - "source": "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\nIn DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\nThe pixel scale is measured as the on-sky separation between two pixels that are one pixel apart.", - "id": "cell-036" + "source": [ + "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\n", + "In DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\n", + "The pixel scale is measured as the on-sky separation between two pixels that are one pixel apart." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-037", "metadata": {}, "outputs": [], - "source": "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n band=my_band[0], skymap=\"lsst_cells_v2\",\n tract=bcg_tract_number, patch=bcg_patch_number)\n\ntarget = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\nxy = coadd_wcs.sky_to_pixel(target)\nsky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\nsky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\nplate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\nprint(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")", - "id": "cell-037" + "source": [ + "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n", + " band=my_band[0], skymap=\"lsst_cells_v2\",\n", + " tract=bcg_tract_number, patch=bcg_patch_number)\n", + "\n", + "target = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\n", + "xy = coadd_wcs.sky_to_pixel(target)\n", + "sky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\n", + "sky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\n", + "plate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\n", + "print(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")" + ] }, { "cell_type": "markdown", + "id": "cell-038", "metadata": {}, - "source": "Set the plate scale in the new skymap.", - "id": "cell-038" + "source": [ + "Set the plate scale in the new skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-039", "metadata": {}, "outputs": [], - "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", - "id": "cell-039" + "source": [ + "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg" + ] }, { "cell_type": "markdown", + "id": "cell-040", "metadata": {}, - "source": "Set the WCS projection type.\nThe WCS of `deep_coadd` images are `TAN` projections ([see the DP2 documentation](https://dp2.lsst.io/)).", - "id": "cell-040" + "source": [ + "Set the WCS projection type.\n", + "The WCS of `deep_coadd` images are `TAN` projections ([see the DP2 documentation](https://dp2.lsst.io/))." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-041", "metadata": {}, "outputs": [], - "source": "discrete_skymap_config.skyMap.projection = 'TAN'", - "id": "cell-041" + "source": [ + "discrete_skymap_config.skyMap.projection = 'TAN'" + ] }, { "cell_type": "markdown", + "id": "cell-042", "metadata": {}, - "source": "Compute the new skymap.", - "id": "cell-042" + "source": [ + "Compute the new skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-043", "metadata": {}, "outputs": [], - "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", - "id": "cell-043" + "source": [ + "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap" + ] }, { "cell_type": "markdown", + "id": "cell-044", "metadata": {}, - "source": "Get the new WCS from the single tract discrete skymap.", - "id": "cell-044" + "source": [ + "Get the new WCS from the single tract discrete skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-045", "metadata": {}, "outputs": [], - "source": "new_wcs = new_skymap[0].wcs", - "id": "cell-045" + "source": [ + "new_wcs = new_skymap[0].wcs" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-046", "metadata": {}, "outputs": [], - "source": "new_wcs", - "id": "cell-046" + "source": [ + "new_wcs" + ] }, { "cell_type": "markdown", + "id": "cell-047", "metadata": {}, - "source": "Create a bounding box in the new WCS coordinates that is centered on the cluster and has the width defined above.", - "id": "cell-047" + "source": [ + "Create a bounding box in the new WCS coordinates that is centered on the cluster and has the width defined above." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-048", "metadata": {}, "outputs": [], - "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n dec_bcg - dec_half_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n dec_bcg + dec_half_deg, degrees))),\n)", - "id": "cell-048" + "source": [ + "small_box = Box2I(\n", + " Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n", + " dec_bcg - dec_half_deg, degrees))),\n", + " Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n", + " dec_bcg + dec_half_deg, degrees))),\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-049", "metadata": {}, - "source": "Create a new coadd image in the band defined above (`i`) that is a combination of the inputs contained within the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", - "id": "cell-049" + "source": [ + "Create a new coadd image in the band defined above (`i`) that is a combination of the inputs contained within the defined box.\n", + "Each coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\n", + "Note that the `run` method modifies the bounding box in place, so a copy is made." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-050", "metadata": {}, "outputs": [], - "source": "getTemplateTask = GetTemplateTask()\nmapping = sorted_data[my_band[0]]\n\nsmall_box_copy = Box2I(small_box)\nnew_image_i = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=my_band[0],\n)", - "id": "cell-050" + "source": [ + "getTemplateTask = GetTemplateTask()\n", + "mapping = sorted_data[my_band[0]]\n", + "\n", + "small_box_copy = Box2I(small_box)\n", + "new_image_i = getTemplateTask.run(\n", + " coaddExposureHandles={\n", + " tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n", + " for ref in refs]\n", + " for tract, refs in mapping.items()\n", + " },\n", + " bbox=small_box_copy,\n", + " wcs=new_wcs,\n", + " dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n", + " physical_filter=my_band[0],\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-051", "metadata": {}, - "source": "## 4. Visualize the custom cutout\n\nVisualize the new multi-patch cutout, first as a static image with `matplotlib` and then interactively with Firefly.", - "id": "cell-051" + "source": [ + "## 4. Visualize the custom cutout\n", + "\n", + "Visualize the new multi-patch cutout, first as a static image with `matplotlib` and then interactively with Firefly." + ] }, { "cell_type": "markdown", + "id": "cell-052", "metadata": {}, - "source": "### 4.1. Display with matplotlib\n\nSet the `afwDisplay` backend to `matplotlib`.", - "id": "cell-052" + "source": [ + "### 4.1. Display with matplotlib\n", + "\n", + "Set the `afwDisplay` backend to `matplotlib`." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-053", "metadata": {}, "outputs": [], - "source": "afwDisplay.setDefaultBackend('matplotlib')", - "id": "cell-053" + "source": [ + "afwDisplay.setDefaultBackend('matplotlib')" + ] }, { "cell_type": "markdown", "id": "cell-s41-display", "metadata": {}, - "source": "Display the template image using an asinh stretch with zscale limits." + "source": [ + "Display the template image using an asinh stretch with zscale limits." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-054", "metadata": {}, "outputs": [], - "source": "fig = plt.figure(figsize=(8, 8))\ndisplay = afwDisplay.Display(frame=fig)\ndisplay.scale('asinh', 'zscale')\ndisplay.mtv(new_image_i.template.image)\nplt.show()", - "id": "cell-054" + "source": [ + "fig = plt.figure(figsize=(8, 8))\n", + "display = afwDisplay.Display(frame=fig)\n", + "display.scale('asinh', 'zscale')\n", + "display.mtv(new_image_i.template.image)\n", + "plt.show()" + ] }, { "cell_type": "markdown", + "id": "cell-055", "metadata": {}, - "source": "> **Figure 1:** Cutout of the galaxy cluster PSZ2 G309.43-72.86, displayed using `matplotlib` as the backend for `afw.display`. Note that the coordinates are in pixel units.", - "id": "cell-055" + "source": [ + "> **Figure 1:** Cutout of the galaxy cluster PSZ2 G309.43-72.86, displayed using `matplotlib` as the backend for `afw.display`. Note that the coordinates are in pixel units." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-056", "metadata": {}, "outputs": [], - "source": "new_image_i.template.image.array.shape", - "id": "cell-056" + "source": [ + "new_image_i.template.image.array.shape" + ] }, { "cell_type": "markdown", + "id": "cell-057", "metadata": {}, - "source": "### 4.2. Display with Firefly\n\nFirefly allows for interactive image display and manipulation.\n\nReset the `afwDisplay` backend to be Firefly and start the display.\nA new tab will open, containing the Firefly interface.\nNote that Firefly will use the new WCS information to display the image in celestial coordinates.", - "id": "cell-057" + "source": [ + "### 4.2. Display with Firefly\n", + "\n", + "Firefly allows for interactive image display and manipulation.\n", + "\n", + "Reset the `afwDisplay` backend to be Firefly and start the display.\n", + "A new tab will open, containing the Firefly interface.\n", + "Note that Firefly will use the new WCS information to display the image in celestial coordinates." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-058", "metadata": {}, "outputs": [], - "source": "afwDisplay.setDefaultBackend('firefly')\nafw_display = afwDisplay.Display(frame=1)", - "id": "cell-058" + "source": [ + "afwDisplay.setDefaultBackend('firefly')\n", + "afw_display = afwDisplay.Display(frame=1)" + ] }, { "cell_type": "markdown", + "id": "cell-059", "metadata": {}, - "source": "Display the image in Firefly.", - "id": "cell-059" + "source": [ + "Display the image in Firefly." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-060", "metadata": {}, "outputs": [], - "source": "afw_display.mtv(new_image_i.template)", - "id": "cell-060" + "source": [ + "afw_display.mtv(new_image_i.template)" + ] }, { "cell_type": "markdown", + "id": "cell-061", "metadata": {}, - "source": "The Firefly default is to visualize the mask plane with colors.\nSet the mask plane transparency to 100, fully transparent, to see only the pixel data.", - "id": "cell-061" + "source": [ + "The Firefly default is to visualize the mask plane with colors.\n", + "Set the mask plane transparency to 100, fully transparent, to see only the pixel data." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-062", "metadata": {}, "outputs": [], - "source": "afw_display.setMaskTransparency(100)", - "id": "cell-062" + "source": [ + "afw_display.setMaskTransparency(100)" + ] }, { - "cell_type": "markdown", - "id": "cell-firefly-fig", - "metadata": {}, "attachments": { "firefly.png": { "image/png": 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" } }, - "source": "The displayed image should look like this.\n\n
\n\n![firefly.png](attachment:firefly.png)\n\n
\n\n> **Figure 2:** The multi-patch cutout of PSZ2 G309.43-72.86 displayed in Firefly. Firefly uses the new WCS to show the image in celestial coordinates, and the mask plane has been set fully transparent so only the pixel data are shown." + "cell_type": "markdown", + "id": "cell-firefly-fig", + "metadata": {}, + "source": [ + "The displayed image should look like this.\n", + "\n", + "
\n", + "\n", + "![firefly.png](attachment:firefly.png)\n", + "\n", + "
\n", + "\n", + "> **Figure 2:** The multi-patch cutout of PSZ2 G309.43-72.86 displayed in Firefly. Firefly uses the new WCS to show the image in celestial coordinates, and the mask plane has been set fully transparent so only the pixel data are shown." + ] }, { "cell_type": "markdown", + "id": "cell-063", "metadata": {}, - "source": "### 4.3. Option to save as a FITS file\n\nTo save as a FITS file in the home directory, uncomment (remove the #)\nfrom all lines in the following cell and then execute it.\n\n> **Warning:** Images can take up a lot of disk space. Save and download with caution.", - "id": "cell-063" + "source": [ + "### 4.3. Option to save as a FITS file\n", + "\n", + "To save as a FITS file in the home directory, uncomment (remove the #)\n", + "from all lines in the following cell and then execute it.\n", + "\n", + "> **Warning:** Images can take up a lot of disk space. Save and download with caution." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-064", "metadata": {}, "outputs": [], - "source": "# import os\n# username = os.environ.get('USER')\n# fnm = '/home/' + username + '/my_big_cutout_dp2_cluster.fits'\n# new_image_i.template.writeFits(fnm)\n# del username, fnm", - "id": "cell-064" + "source": [ + "# import os\n", + "# username = os.environ.get('USER')\n", + "# fnm = '/home/' + username + '/my_big_cutout_dp2_cluster.fits'\n", + "# new_image_i.template.writeFits(fnm)\n", + "# del username, fnm" + ] }, { "cell_type": "markdown", + "id": "cell-065", "metadata": {}, - "source": "## 5. Compare PSFs\n\nCompare the Point Spread Function (PSF) of the new big coadd with that of the original `deep_coadd` associated with the cluster center, at the cluster center and at a second location offset from it, to illustrate the spatial variation of the PSF across the mosaic.\n\nFor the original `deep_coadd`, use the DP2 cell-coadd PSF and WCS interfaces (`deep_coadd.psf` and `deep_coadd.sky_projection`), as in the 205-series tutorial on the PSF for `deep_coadd` images.\nThe new big coadd is a legacy afw `Exposure` produced by `GetTemplateTask`, so its PSF is accessed with `getPsf`.\nIn both cases the PSF size is measured as the adaptive-moments sigma of the PSF stamp using `galsim`.", - "id": "cell-065" + "source": [ + "## 5. Compare PSFs\n", + "\n", + "Compare the Point Spread Function (PSF) of the new big coadd with that of the original `deep_coadd` associated with the cluster center, at the cluster center and at a second location offset from it, to illustrate the spatial variation of the PSF across the mosaic.\n", + "\n", + "For the original `deep_coadd`, use the DP2 cell-coadd PSF and WCS interfaces (`deep_coadd.psf` and `deep_coadd.sky_projection`), as in the 205-series tutorial on the PSF for `deep_coadd` images.\n", + "The new big coadd is a legacy afw `Exposure` produced by `GetTemplateTask`, so its PSF is accessed with `getPsf`.\n", + "In both cases the PSF size is measured as the adaptive-moments sigma of the PSF stamp using `galsim`." + ] }, { "cell_type": "markdown", + "id": "cell-066", "metadata": {}, - "source": "Get the original `deep_coadd` (as a cell coadd) and its PSF, WCS, and bounding box.", - "id": "cell-066" + "source": [ + "Get the original `deep_coadd` (as a cell coadd) and its PSF, WCS, and bounding box." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-067", "metadata": {}, "outputs": [], - "source": "bcg_coadd = butler.get(bcg_data_ref)\ncoadd_psf = bcg_coadd.psf\ncoadd_wcs = bcg_coadd.sky_projection\ncoadd_bbox = bcg_coadd.bbox", - "id": "cell-067" + "source": [ + "bcg_coadd = butler.get(bcg_data_ref)\n", + "coadd_psf = bcg_coadd.psf\n", + "coadd_wcs = bcg_coadd.sky_projection\n", + "coadd_bbox = bcg_coadd.bbox" + ] }, { "cell_type": "markdown", + "id": "cell-068", "metadata": {}, - "source": "**Function**: `psf_sigma`\n\nMeasure the PSF size (the adaptive-moments sigma, in pixels) from a PSF postage-stamp image with `galsim`, following the 205-series PSF tutorial.", - "id": "cell-068" + "source": [ + "**Function**: `psf_sigma`\n", + "\n", + "Measure the PSF size (the adaptive-moments sigma, in pixels) from a PSF postage-stamp image with `galsim`, following the 205-series PSF tutorial." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-069", "metadata": {}, "outputs": [], - "source": "def psf_sigma(psf_image_array):\n \"\"\"Return the adaptive-moments sigma (in pixels) of a PSF stamp array.\"\"\"\n gs_image = galsim.Image(np.ascontiguousarray(psf_image_array), scale=1.0)\n return galsim.hsm.FindAdaptiveMom(gs_image, guess_sig=3.0).moments_sigma", - "id": "cell-069" + "source": [ + "def psf_sigma(psf_image_array):\n", + " \"\"\"Return the adaptive-moments sigma (in pixels) of a PSF stamp array.\"\"\"\n", + " gs_image = galsim.Image(np.ascontiguousarray(psf_image_array), scale=1.0)\n", + " return galsim.hsm.FindAdaptiveMom(gs_image, guess_sig=3.0).moments_sigma" + ] }, { "cell_type": "markdown", + "id": "cell-070", "metadata": {}, - "source": "Define the two comparison locations.\nThe PSF is only defined where input images contribute, so the corners of the rectangular cutout may fall outside the data coverage.\nTo choose a location that is guaranteed to lie within both the original patch and the new mosaic, take the point halfway between the cluster center and the center of its patch (a bounding box is convex, so the midpoint of two interior points is also interior).", - "id": "cell-070" + "source": [ + "Define the two comparison locations.\n", + "The PSF is only defined where input images contribute, so the corners of the rectangular cutout may fall outside the data coverage.\n", + "To choose a location that is guaranteed to lie within both the original patch and the new mosaic, take the point halfway between the cluster center and the center of its patch (a bounding box is convex, so the midpoint of two interior points is also interior)." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-071", "metadata": {}, "outputs": [], - "source": "center = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\ncenter_xy = coadd_wcs.sky_to_pixel(center)\n\npatch_center_x = 0.5 * (coadd_bbox.x.start + coadd_bbox.x.stop)\npatch_center_y = 0.5 * (coadd_bbox.y.start + coadd_bbox.y.stop)\noffset = coadd_wcs.pixel_to_sky(\n x=0.5 * (center_xy.x + patch_center_x),\n y=0.5 * (center_xy.y + patch_center_y))\n\nlocations = [(\"center\", center), (\"offset\", offset)]", - "id": "cell-071" + "source": [ + "center = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\n", + "center_xy = coadd_wcs.sky_to_pixel(center)\n", + "\n", + "patch_center_x = 0.5 * (coadd_bbox.x.start + coadd_bbox.x.stop)\n", + "patch_center_y = 0.5 * (coadd_bbox.y.start + coadd_bbox.y.stop)\n", + "offset = coadd_wcs.pixel_to_sky(\n", + " x=0.5 * (center_xy.x + patch_center_x),\n", + " y=0.5 * (center_xy.y + patch_center_y))\n", + "\n", + "locations = [(\"center\", center), (\"offset\", offset)]" + ] }, { "cell_type": "markdown", + "id": "cell-072", "metadata": {}, - "source": "Loop over locations and compare the PSF Full Width at Half Maximum (FWHM) size for each one.", - "id": "cell-072" + "source": [ + "Loop over locations and compare the PSF Full Width at Half Maximum (FWHM) size for each one." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-073", "metadata": {}, "outputs": [], - "source": "SIGMA_TO_FWHM = 2.0 * np.sqrt(2.0 * np.log(2.0))\ntemplate_psf = new_image_i.template.getPsf()\n\nfor label, coord in locations:\n # Original deep_coadd PSF (DP2 cell-coadd API).\n xy = coadd_wcs.sky_to_pixel(coord)\n coadd_stamp = coadd_psf.compute_kernel_image(x=xy.x, y=xy.y)\n sigma_coadd = psf_sigma(coadd_stamp.array)\n\n # New big coadd PSF (legacy afw Exposure from GetTemplateTask).\n template_point = new_wcs.skyToPixel(\n SpherePoint(coord.ra.deg, coord.dec.deg, degrees))\n template_stamp = template_psf.computeKernelImage(template_point)\n sigma_template = psf_sigma(template_stamp.array)\n\n percent_diff = np.abs(sigma_coadd - sigma_template) / sigma_template * 100\n print(f\"{label}: deep_coadd FWHM = {sigma_coadd * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"new coadd FWHM = {sigma_template * SIGMA_TO_FWHM: .3f} pixels, \"\n f\"difference = {percent_diff: .2f}%\")", - "id": "cell-073" + "source": [ + "SIGMA_TO_FWHM = 2.0 * np.sqrt(2.0 * np.log(2.0))\n", + "template_psf = new_image_i.template.getPsf()\n", + "\n", + "for label, coord in locations:\n", + " # Original deep_coadd PSF (DP2 cell-coadd API).\n", + " xy = coadd_wcs.sky_to_pixel(coord)\n", + " coadd_stamp = coadd_psf.compute_kernel_image(x=xy.x, y=xy.y)\n", + " sigma_coadd = psf_sigma(coadd_stamp.array)\n", + "\n", + " # New big coadd PSF (legacy afw Exposure from GetTemplateTask).\n", + " template_point = new_wcs.skyToPixel(\n", + " SpherePoint(coord.ra.deg, coord.dec.deg, degrees))\n", + " template_stamp = template_psf.computeKernelImage(template_point)\n", + " sigma_template = psf_sigma(template_stamp.array)\n", + "\n", + " percent_diff = np.abs(sigma_coadd - sigma_template) / sigma_template * 100\n", + " print(f\"{label}: deep_coadd FWHM = {sigma_coadd * SIGMA_TO_FWHM: .3f} pixels, \"\n", + " f\"new coadd FWHM = {sigma_template * SIGMA_TO_FWHM: .3f} pixels, \"\n", + " f\"difference = {percent_diff: .2f}%\")" + ] }, { "cell_type": "markdown", "id": "cell-s5-interp", "metadata": {}, - "source": "The two PSF FWHM values agree to well within a percent at each location. This small, nonzero difference is expected: the new big coadd is not a copy of the original `deep_coadd` pixels, but a resampling of the input coadds onto the new discrete-skymap WCS. Warping to this new pixel grid interpolates the pixel values, which slightly alters the measured PSF even at the same sky coordinate. The sub-percent agreement therefore confirms that `GetTemplateTask` preserves the PSF to high accuracy when building the mosaic; a large difference, by contrast, would point to a problem with the warping or the input data." + "source": [ + "The two PSF FWHM values agree to well within a percent at each location.\n", + "This small, nonzero difference is expected: the new big coadd is not a copy of the original `deep_coadd` pixels, but a resampling of the input coadds onto the new discrete-skymap WCS.\n", + "Warping to this new pixel grid interpolates the pixel values, which slightly alters the measured PSF even at the same sky coordinate." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6bc3eeea-3b5b-4828-a1d3-70a8eb3ae79f", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb index cb33f3be..46661b83 100644 --- a/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb +++ b/DP2/100_How_to_use_RSP_tools/103_Image_access_and_display/103_9_Custom_color_images.ipynb @@ -9,665 +9,1050 @@ "cell_type": "markdown", "id": "e0de3506-06ec-4f46-92b3-a6f01753d9fc", "metadata": {}, - "source": "# 103.9. Custom color images\n\n
\n\n![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n\n
\n\nFor the Rubin Science Platform at data.lsst.cloud.\\\nData Release: [Data Preview 2](https://dp2.lsst.io/)\\\nContainer Size: Large\\\nLSST Science Pipelines version: r30.0.11\\\nLast verified to run: 2026-09-10\\\nRepository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\nDOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + "source": [ + "# 103.9. Custom color images\n", + "\n", + "
\n", + "\n", + "![logo.png](attachment:d5f03413-ecf1-47ca-8d6d-0185992158c5.png)\n", + "\n", + "
\n", + "\n", + "For the Rubin Science Platform at data.lsst.cloud.\\\n", + "Data Release: [Data Preview 2](https://dp2.lsst.io/)\\\n", + "Container Size: Large\\\n", + "LSST Science Pipelines version: r30.0.11\\\n", + "Last verified to run: 2026-09-21\\\n", + "Repository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\n", + "DOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)" + ] }, { "cell_type": "markdown", - "metadata": {}, - "source": "**Learning objective:** To make a custom color composite image.\n\n**LSST data products:** `deep_coadd`\n\n**Packages:** `lsst.daf.butler`, `lsst.geom`, `lsst.sphgeom`, `lsst.pipe.tasks.prettyPictureMaker`, `lsst.ip.diffim`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`, `matplotlib.pyplot`.\n\n**Credit:** Originally developed by Andrés A. Plazas Malagón, Nate Lust, Clare Higgs, and the Rubin Community Science team; Section 2 is based on a script by Nate Lust; Section 3 is based on a script by Nate Lust and a notebook by Phil Marshall, Phil Holloway, Ralf Kaehler, Ferro Shao, including code from Robert Lupton; and Section 4 is based on a script by Nate Lust and a notebook by Céline Combet. Adapted for DP2 by the Rubin Community Science team.\n\nPlease consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n\n**Related tutorials:** See the 103-series tutorial on multi-coadd mosaic cutouts, which introduces the multi-patch cutout technique used in Section 4.\n\n**Get Support:**\nEveryone is encouraged to ask questions or raise issues in the\nSupport Category\nof the Rubin Community Forum.\nRubin staff will respond to all questions posted there.", - "id": "cell-001" + "id": "cell-001", + "metadata": {}, + "source": [ + "**Learning objective:** To make a custom color composite image.\n", + "\n", + "**LSST data products:** `deep_coadd`\n", + "\n", + "**Packages:** `lsst.daf.butler`, `lsst.geom`, `lsst.sphgeom`, `lsst.pipe.tasks.prettyPictureMaker`, `lsst.ip.diffim`, `lsst.pipe.tasks.makeDiscreteSkyMap`, `lsst.pipe.base`, `matplotlib.pyplot`.\n", + "\n", + "**Credit:** Originally developed by the Rubin Community Science team.\n", + "Please consider acknowledging them if this notebook is used for the preparation of journal articles, software releases, or other notebooks.\n", + "\n", + "**Related tutorials:** See the 103-series tutorial on multi-coadd mosaic cutouts, which introduces the multi-patch cutout technique used in Section 4.\n", + "\n", + "**Get Support:**\n", + "Everyone is encouraged to ask questions or raise issues in the\n", + "Support Category\n", + "of the Rubin Community Forum.\n", + "Rubin staff will respond to all questions posted there." + ] }, { "cell_type": "markdown", + "id": "cell-002", "metadata": {}, - "source": "## 1. Introduction\n\nThis tutorial demonstrates how to use the [`lsst.pipe.tasks.prettyPictureMaker`](https://github.com/lsst/pipe_tasks/tree/main/python/lsst/pipe/tasks/prettyPictureMaker) code from the LSST Science Pipelines to produce high-quality RGB composite images from multi-band data.\n\nThe `prettyPictureMaker` task in the LSST Science Pipelines is specifically optimized for LSST images, incorporating algorithms that are hue preserving so that astrophysical colors remain consistent across brightness levels. Unlike many external packages that emphasize contrast at the expense of color fidelity, Rubin's approach ensures that faint objects retain distinguishable colors and bright objects do not lose astrophysical color information. By keeping hue constant across all brightness levels, the algorithm enables consistent comparison of astrophysical objects regardless of their distance or intrinsic brightness. In addition, it corrects for the non-uniform way the human eye perceives color, producing perceptually uniform hues that more accurately convey the information contained in astrophysical colors.\n\nSection 2 builds and explains the `PrettyPictureTask` configuration object that controls image stretching, tone mapping, color balance, and other visual aspects. In Section 3, a cutout of an *Euclid* Quick Release 1 strong lens candidate in the Euclid Deep Field South (a Data Preview 2 [DP2] field) is made and rendered as a color composite. Finally, in Section 4, a color composite of the galaxy cluster PSZ2 G309.43-72.86 is displayed.", - "id": "cell-002" + "source": [ + "## 1. Introduction\n", + "\n", + "This tutorial demonstrates how to use the [`lsst.pipe.tasks.prettyPictureMaker`](https://github.com/lsst/pipe_tasks/tree/main/python/lsst/pipe/tasks/prettyPictureMaker) code from the LSST Science Pipelines to produce high-quality RGB composite images from multi-band data.\n", + "\n", + "The `prettyPictureMaker` task in the LSST Science Pipelines is specifically optimized for LSST images, incorporating algorithms that are hue preserving so that astrophysical colors remain consistent across brightness levels. Unlike many external packages that emphasize contrast at the expense of color fidelity, Rubin's approach ensures that faint objects retain distinguishable colors and bright objects do not lose astrophysical color information. By keeping hue constant across all brightness levels, the algorithm enables consistent comparison of astrophysical objects regardless of their distance or intrinsic brightness. In addition, it corrects for the non-uniform way the human eye perceives color, producing perceptually uniform hues that more accurately convey the information contained in astrophysical colors.\n", + "\n", + "Section 2 builds and explains the `PrettyPictureTask` configuration object that controls image stretching, tone mapping, color balance, and other visual aspects. In Section 3, a cutout of an *Euclid* Quick Release 1 strong lens candidate in the Euclid Deep Field South (a Data Preview 2 [DP2] field) is made and rendered as a color composite. Finally, in Section 4, a color composite of the galaxy cluster PSZ2 G309.43-72.86 is displayed." + ] }, { "cell_type": "markdown", + "id": "cell-003", "metadata": {}, - "source": "### 1.1. Import packages\n\nThe `PrettyPictureTask` and `ChannelRGBConfig` classes from `lsst.pipe.tasks.prettyPictureMaker` are used for creating color composites, while `GetTemplateTask` from `lsst.ip.diffim`, `MakeDiscreteSkyMapTask` from `lsst.pipe.tasks.makeDiscreteSkyMap`, and `InMemoryDatasetHandle` from `lsst.pipe.base` support working with image templates and sky maps.", - "id": "cell-003" + "source": [ + "### 1.1. Import packages\n", + "\n", + "The `PrettyPictureTask` and `ChannelRGBConfig` classes from `lsst.pipe.tasks.prettyPictureMaker` are used for creating color composites, while `GetTemplateTask` from `lsst.ip.diffim`, `MakeDiscreteSkyMapTask` from `lsst.pipe.tasks.makeDiscreteSkyMap`, and `InMemoryDatasetHandle` from `lsst.pipe.base` support working with image templates and sky maps." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-004", "metadata": {}, "outputs": [], - "source": "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom astropy.coordinates import SkyCoord\nimport astropy.units as u\n\nfrom lsst.daf.butler import Butler\n\nfrom lsst.geom import Box2I, Point2I, Point2D, Extent2I, SpherePoint, degrees\nfrom lsst.sphgeom import Box as SphBox\n\nfrom lsst.pipe.tasks.prettyPictureMaker import PrettyPictureTask\nfrom lsst.pipe.tasks.prettyPictureMaker._task import ChannelRGBConfig\nfrom lsst.ip.diffim import GetTemplateTask\nfrom lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\nfrom lsst.pipe.base import InMemoryDatasetHandle", - "id": "cell-004" + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from astropy.coordinates import SkyCoord\n", + "import astropy.units as u\n", + "\n", + "from lsst.daf.butler import Butler\n", + "\n", + "from lsst.geom import Box2I, Point2I, Extent2I, SpherePoint, degrees\n", + "from lsst.sphgeom import Box as SphBox\n", + "\n", + "from lsst.pipe.tasks.prettyPictureMaker import PrettyPictureTask\n", + "from lsst.pipe.tasks.prettyPictureMaker._task import ChannelRGBConfig\n", + "from lsst.ip.diffim import GetTemplateTask\n", + "from lsst.pipe.tasks.makeDiscreteSkyMap import MakeDiscreteSkyMapTask\n", + "from lsst.pipe.base import InMemoryDatasetHandle" + ] }, { "cell_type": "markdown", + "id": "cell-005", "metadata": {}, - "source": "### 1.2. Define parameters and functions", - "id": "cell-005" + "source": [ + "### 1.2. Define parameters and functions" + ] }, { "cell_type": "markdown", + "id": "cell-006", "metadata": {}, - "source": "**Function**: `display_image_array`\n\nDisplays an RGB color image. `PrettyPictureTask` returns its result as an `lsst.images.ColorImage`, whose `.array` attribute is the underlying HxWx3 numpy array; the function accepts either a `ColorImage` or a plain numpy array.", - "id": "cell-006" + "source": [ + "**Function**: `display_image_array`\n", + "\n", + "Displays an RGB color image. `PrettyPictureTask` returns its result as an `lsst.images.ColorImage`, whose `.array` attribute is the underlying HxWx3 numpy array; the function accepts either a `ColorImage` or a plain numpy array." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-007", "metadata": {}, "outputs": [], - "source": "def display_image_array(image_array, ax=None, figsize=(8, 8), name=None):\n \"\"\"Display an RGB color image.\n\n Parameters\n ----------\n image_array : `lsst.images.ColorImage` or `numpy.ndarray`\n An RGB color image, either as an ``lsst.images.ColorImage`` (as\n returned by ``PrettyPictureTask``) or as an HxWx3 numpy array.\n ax : matplotlib.axes.Axes, optional\n Axis to draw on; if None, a new Figure and Axes are created.\n figsize : tuple, optional\n Size of the created `matplotlib.Figure` (ignored if `ax` is provided).\n name : str, optional\n Label to annotate the image.\n \"\"\"\n # PrettyPictureTask returns an lsst.images.ColorImage; use its numpy array.\n if hasattr(image_array, \"array\"):\n image_array = image_array.array\n\n if ax is None:\n fig = plt.figure(figsize=figsize)\n ax = fig.add_subplot(1, 1, 1)\n\n ax.imshow(image_array, interpolation=\"nearest\", origin=\"lower\")\n ax.axis(\"off\")\n\n if name:\n ax.text(0, 0.95, name, color=\"white\", fontsize=12, ha=\"left\", va=\"top\",\n transform=ax.transAxes)\n\n return", - "id": "cell-007" + "source": [ + "def display_image_array(image_array, ax=None, figsize=(8, 8), name=None):\n", + " \"\"\"Display an RGB color image.\n", + "\n", + " Parameters\n", + " ----------\n", + " image_array : `lsst.images.ColorImage` or `numpy.ndarray`\n", + " An RGB color image, either as an ``lsst.images.ColorImage`` (as\n", + " returned by ``PrettyPictureTask``) or as an HxWx3 numpy array.\n", + " ax : matplotlib.axes.Axes, optional\n", + " Axis to draw on; if None, a new Figure and Axes are created.\n", + " figsize : tuple, optional\n", + " Size of the created `matplotlib.Figure` (ignored if `ax` is provided).\n", + " name : str, optional\n", + " Label to annotate the image.\n", + " \"\"\"\n", + " # PrettyPictureTask returns an lsst.images.ColorImage; use its numpy array.\n", + " if hasattr(image_array, \"array\"):\n", + " image_array = image_array.array\n", + "\n", + " if ax is None:\n", + " fig = plt.figure(figsize=figsize)\n", + " ax = fig.add_subplot(1, 1, 1)\n", + "\n", + " ax.imshow(image_array, interpolation=\"nearest\", origin=\"lower\")\n", + " ax.axis(\"off\")\n", + "\n", + " if name:\n", + " ax.text(0, 0.95, name, color=\"white\", fontsize=12, ha=\"left\", va=\"top\",\n", + " transform=ax.transAxes)\n", + "\n", + " return" + ] }, { "cell_type": "markdown", + "id": "cell-008", "metadata": {}, - "source": "Create an instance of the butler, and assert that it exists.", - "id": "cell-008" + "source": [ + "Create an instance of the butler, and assert that it exists." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-009", "metadata": {}, "outputs": [], - "source": "butler = Butler(\"dp2\", collections=\"dp2\")", - "id": "cell-009" + "source": [ + "butler = Butler(\"dp2\", collections=\"dp2\")" + ] }, { "cell_type": "markdown", + "id": "cell-010", "metadata": {}, - "source": "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap.", - "id": "cell-010" + "source": [ + "Get the skymap. DP2 coadds use the `lsst_cells_v2` skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-011", "metadata": {}, "outputs": [], - "source": "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")", - "id": "cell-011" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "## 2. `PrettyPictureTask` configuration", - "id": "cell-012" + "source": [ + "skymap = butler.get(\"skyMap\", skymap=\"lsst_cells_v2\")" + ] }, { "cell_type": "markdown", + "id": "cell-012", "metadata": {}, - "source": "Define the configuration file for `PrettyPictureTask`, and set some parameters.", - "id": "cell-013" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "pretty_pic_config = PrettyPictureTask.ConfigClass()", - "id": "cell-014" + "source": [ + "## 2. `PrettyPictureTask` configuration" + ] }, { "cell_type": "markdown", + "id": "cell-013", "metadata": {}, - "source": "### 2.1. `doLocalContrast`\n\nThis parameter toggles local-contrast enhancement in the luminance channel. It defaults to `True`; turn it off for small images or faster processing, and keep it on to boost mid-scale detail in extended objects (e.g., subtle spiral arms). When enabled, contrast is enhanced before color mapping, revealing structures that are close in brightness to their surroundings.\n\nIt is disabled here. This is required for the small cutout in Section 3, because local-contrast enhancement is not well-defined on very small stamps.", - "id": "cell-015" + "source": [ + "Define the configuration file for `PrettyPictureTask`, and set some parameters." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-014", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.doLocalContrast = False", - "id": "cell-016" + "source": [ + "pretty_pic_config = PrettyPictureTask.ConfigClass()" + ] }, { "cell_type": "markdown", + "id": "cell-017", "metadata": {}, - "source": "### 2.2. `imageRemappingConfig.absMax`\n\nThis parameter sets the input data value (for Rubin data, in nJy) that will be treated as \"white\" in the output image.\nIn this context, \"white\" means the maximum display intensity in the output RGB image.\nWhen an input pixel has a flux equal to `imageRemappingConfig.absMax`, it will be mapped to pure white (full intensity in all channels) after stretching and scaling.\nBrighter fluxes will also be clipped to white.\n\nIf left unset, the brightest pixel in the image might be used as the white point --- but this can be unstable due to rare, very bright pixels in the long tail of the brightness histogram.", - "id": "cell-017" + "source": [ + "### 2.1. `imageRemappingConfig.absMax`\n", + "\n", + "This parameter sets the input data value (for Rubin data, in nJy) that will be treated as \"white\" in the output image.\n", + "In this context, \"white\" means the maximum display intensity in the output RGB image.\n", + "When an input pixel has a flux equal to `imageRemappingConfig.absMax`, it will be mapped to pure white (full intensity in all channels) after stretching and scaling.\n", + "Brighter fluxes will also be clipped to white.\n", + "\n", + "If left unset, the brightest pixel in the image might be used as the white point --- but this can be unstable due to rare, very bright pixels in the long tail of the brightness histogram." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-018", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.imageRemappingConfig.absMax = 11000", - "id": "cell-018" + "source": [ + "pretty_pic_config.imageRemappingConfig.absMax = 11000" + ] }, { "cell_type": "markdown", + "id": "cell-019", "metadata": {}, - "source": "### 2.3. `luminanceConfig.stretch`\n\nThis parameter controls the strength of the arcsinh stretch applied to the luminance channel, as defined in [Lupton et al. 2004](https://ui.adsabs.harvard.edu/abs/2004PASP..116..133L/abstract).\nThe arcsinh function compresses the dynamic range of the image while still preserving faint structures, making it well-suited for astronomical images where bright sources and faint details coexist. Smaller values of stretch produce a more aggressive compression that enhances faint features but can cause bright regions to saturate, while larger values approach a nearly linear scaling.", - "id": "cell-019" + "source": [ + "### 2.2. `luminanceConfig.stretch`\n", + "\n", + "This parameter controls the strength of the arcsinh stretch applied to the luminance channel, as defined in [Lupton et al. 2004](https://ui.adsabs.harvard.edu/abs/2004PASP..116..133L/abstract).\n", + "The arcsinh function compresses the dynamic range of the image while still preserving faint structures, making it well-suited for astronomical images where bright sources and faint details coexist. Smaller values of stretch produce a more aggressive compression that enhances faint features but can cause bright regions to saturate, while larger values approach a nearly linear scaling." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-020", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.luminanceConfig.stretch = 750", - "id": "cell-020" + "source": [ + "pretty_pic_config.luminanceConfig.stretch = 750" + ] }, { "cell_type": "markdown", + "id": "cell-021", "metadata": {}, - "source": "### 2.4. `luminanceConfig.highlight`, `luminanceConfig.shadow`, `luminanceConfig.midtone`\n\nThese parameters control a tone-mapping function applied after the arcsinh stretch, similar to the highlight, shadow, and midtone sliders in many photo-editing applications.\nThey determine how the luminance values, now scaled to the 0–1 range, are mapped to the final display brightness.\n\nThe `highlight` value sets the luminance level that will be mapped to white, while `shadow` sets the level that will be mapped to black.\nThe `midtone` parameter defines the balance point between white and black, affecting the overall contrast and brightness perception of the image.\nAdjusting these values allows fine-tuning of the tonal balance to emphasize particular brightness ranges without altering the color mapping.", - "id": "cell-021" + "source": [ + "### 2.3. `luminanceConfig.highlight`, `luminanceConfig.shadow`, `luminanceConfig.midtone`\n", + "\n", + "These parameters control a tone-mapping function applied after the arcsinh stretch, similar to the highlight, shadow, and midtone sliders in many photo-editing applications.\n", + "They determine how the luminance values, now scaled to the 0–1 range, are mapped to the final display brightness.\n", + "\n", + "The `highlight` value sets the luminance level that will be mapped to white, while `shadow` sets the level that will be mapped to black.\n", + "The `midtone` parameter defines the balance point between white and black, affecting the overall contrast and brightness perception of the image.\n", + "Adjusting these values allows fine-tuning of the tonal balance to emphasize particular brightness ranges without altering the color mapping." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-022", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.luminanceConfig.highlight = 0.905882\npretty_pic_config.luminanceConfig.shadow = 0.12\npretty_pic_config.luminanceConfig.midtone = 0.25", - "id": "cell-022" + "source": [ + "pretty_pic_config.luminanceConfig.highlight = 0.905882\n", + "pretty_pic_config.luminanceConfig.shadow = 0.5\n", + "pretty_pic_config.luminanceConfig.midtone = 0.5" + ] }, { "cell_type": "markdown", + "id": "cell-023", "metadata": {}, - "source": "### 2.5. `doPsfDeconvolve`\n\nThis parameter controls whether the image will undergo Point Spread Function (PSF) deconvolution as part of the processing. Setting it to `False` disables PSF deconvolution, which can simplify and speed up the processing, especially for tutorial or exploratory work. When enabled, PSF deconvolution can sharpen features in the image by compensating for the blurring effects of the point-spread function, but it also increases computational complexity and may amplify noise in low signal-to-noise regions.", - "id": "cell-023" + "source": [ + "### 2.4. `doPsfDeconvolve`\n", + "\n", + "This parameter controls whether the image will undergo Point Spread Function (PSF) deconvolution as part of the processing. Setting it to `False` disables PSF deconvolution, which can simplify and speed up the processing, especially for tutorial or exploratory work. When enabled, PSF deconvolution can sharpen features in the image by compensating for the blurring effects of the point-spread function, but it also increases computational complexity and may amplify noise in low signal-to-noise regions." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-024", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.doPsfDeconvolve = False", - "id": "cell-024" + "source": [ + "pretty_pic_config.doPsfDeconvolve = False" + ] }, { "cell_type": "markdown", + "id": "cell-025", "metadata": {}, - "source": "### 2.6. `exposureBracketerConfig.exposureBrackets`\n\nThis parameter enables the use of exposure bracketing, an advanced technique for further compressing the dynamic range of an image. Exposure brackets combine differently scaled versions of the same image to retain detail in both the brightest and faintest regions, similar to high dynamic range (HDR) processing in photography. While powerful, this feature can require careful tuning to achieve the desired visual effect. For simplicity and consistency in this tutorial, it is set to `None`, which disables bracketing and uses a single stretch for the entire image.", - "id": "cell-025" + "source": [ + "### 2.5. `exposureBracketerConfig.exposureBrackets`\n", + "\n", + "This parameter enables the use of exposure bracketing, an advanced technique for further compressing the dynamic range of an image. Exposure brackets combine differently scaled versions of the same image to retain detail in both the brightest and faintest regions, similar to high dynamic range (HDR) processing in photography. While powerful, this feature can require careful tuning to achieve the desired visual effect. For simplicity and consistency in this tutorial, it is set to `None`, which disables bracketing and uses a single stretch for the entire image." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-026", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.exposureBracketerConfig.exposureBrackets = None", - "id": "cell-026" + "source": [ + "pretty_pic_config.exposureBracketerConfig.exposureBrackets = None" + ] }, { "cell_type": "markdown", + "id": "cell-027", "metadata": {}, - "source": "### 2.7. `colorConfig.maxChroma` and `colorConfig.saturation`\n\nThese parameters control how color intensity changes with brightness.\nIncreasing `maxChroma` (> 0) and `saturation` produces richer, more vibrant colors compared to the default settings, enhancing visual appeal while preserving the relative color balance of objects in the image.\nThe `saturation` factor ranges from 0 to 1, but values near 1 are not recommended because they can make bright pixels appear overly saturated.", - "id": "cell-027" + "source": [ + "### 2.6. `colorConfig.maxChroma` and `colorConfig.saturation`\n", + "\n", + "These parameters control how color intensity changes with brightness.\n", + "Increasing `maxChroma` (> 0) and `saturation` produces richer, more vibrant colors compared to the default settings, enhancing visual appeal while preserving the relative color balance of objects in the image.\n", + "The `saturation` factor ranges from 0 to 1, but values near 1 are not recommended because they can make bright pixels appear overly saturated." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-028", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.colorConfig.maxChroma = 80\npretty_pic_config.colorConfig.saturation = 0.6", - "id": "cell-028" + "source": [ + "pretty_pic_config.colorConfig.maxChroma = 80\n", + "pretty_pic_config.colorConfig.saturation = 0.6" + ] }, { "cell_type": "markdown", + "id": "cell-029", "metadata": {}, - "source": "### 2.8. `channelConfig`\n\nThis setting controls how each input band contributes to the red, green, and blue channels of the final RGB image. In the default configuration, the *g* band maps entirely to blue, the *r* band to green, and the *i* band to red, producing a straightforward g–r–i color composite (with the `rgb` values in the [0,1] range).\n\nIt's possible to assign any floating-point weights, allowing a band to contribute to multiple color channels. This can be used to fine-tune color balance or to include additional bands beyond three by mixing them into the RGB channels (e.g., adding *u* to blue and red to simulate violet, or mixing *z* into red). The mapping is applied uniformly across all brightness levels, so object colors remain consistent regardless of brightness. Keeping each band mapped to a single channel is simplest to interpret, but mixing can provide more flexibility and information.", - "id": "cell-029" + "source": [ + "### 2.7. `channelConfig`\n", + "\n", + "This setting controls how each input band contributes to the red, green, and blue channels of the final RGB image. In the default configuration, the *g* band maps entirely to blue, the *r* band to green, and the *i* band to red, producing a straightforward g–r–i color composite (with the `rgb` values in the [0,1] range).\n", + "\n", + "It's possible to assign any floating-point weights, allowing a band to contribute to multiple color channels. This can be used to fine-tune color balance or to include additional bands beyond three by mixing them into the RGB channels (e.g., adding *u* to blue and red to simulate violet, or mixing *z* into red). The mapping is applied uniformly across all brightness levels, so object colors remain consistent regardless of brightness. Keeping each band mapped to a single channel is simplest to interpret, but mixing can provide more flexibility and information." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-030", "metadata": {}, "outputs": [], - "source": "pretty_pic_config.channelConfig = {}\npretty_pic_config.channelConfig[\"g\"] = ChannelRGBConfig(r=0, g=0, b=1)\npretty_pic_config.channelConfig[\"r\"] = ChannelRGBConfig(r=0, g=1, b=0)\npretty_pic_config.channelConfig[\"i\"] = ChannelRGBConfig(r=1, g=0, b=0)", - "id": "cell-030" + "source": [ + "pretty_pic_config.channelConfig = {}\n", + "pretty_pic_config.channelConfig[\"g\"] = ChannelRGBConfig(r=0, g=0, b=1)\n", + "pretty_pic_config.channelConfig[\"r\"] = ChannelRGBConfig(r=0, g=1, b=0)\n", + "pretty_pic_config.channelConfig[\"i\"] = ChannelRGBConfig(r=1, g=0, b=0)" + ] }, { "cell_type": "markdown", + "id": "cell-031", "metadata": {}, - "source": "Define an instance of `PrettyPictureTask` with the configuration file.", - "id": "cell-031" + "source": [ + "Define an instance of `PrettyPictureTask` with the configuration file." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-032", "metadata": {}, "outputs": [], - "source": "task = PrettyPictureTask(config=pretty_pic_config)", - "id": "cell-032" + "source": [ + "task = PrettyPictureTask(config=pretty_pic_config)" + ] }, { "cell_type": "markdown", + "id": "cell-033", "metadata": {}, - "source": "## 3. Strong-lens candidate cutout\n\nMake a cutout of a strong lens candidate from Euclid data in the Euclid Deep Field South (EDFS) DP2 field.", - "id": "cell-033" + "source": [ + "## 3. Strong-lens candidate cutout\n", + "\n", + "Make a cutout of a strong lens candidate from Euclid data in the Euclid Deep Field South (EDFS) DP2 field." + ] }, { "cell_type": "markdown", + "id": "cell-034", "metadata": {}, - "source": "Define the approximate coordinates of the lens, in degrees.\nThe coordinates are from [\"Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine\"](https://doi.org/10.5281/zenodo.15025832).\nThis example uses one target, but the workflow is structured to accept a list of positions.", - "id": "cell-034" + "source": [ + "Define the approximate coordinates of the lens, in degrees.\n", + "The coordinates are from [\"Euclid Quick Data Release (Q1): The Strong Lensing Discovery Engine\"](https://doi.org/10.5281/zenodo.15025832).\n", + "This example uses one target, but the workflow is structured to accept a list of positions." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-035", "metadata": {}, "outputs": [], - "source": "ra_coordinates = [59.626134]\ndec_coordinates = [-49.06175]", - "id": "cell-035" + "source": [ + "ra_coordinates = [59.626134]\n", + "dec_coordinates = [-49.06175]" + ] }, { "cell_type": "markdown", + "id": "cell-036", "metadata": {}, - "source": "Define the stamp size, in pixels.", - "id": "cell-036" + "source": [ + "Define the stamp size, in pixels." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-037", "metadata": {}, "outputs": [], - "source": "stamp_size = 32", - "id": "cell-037" + "source": [ + "stamp_size = 32" + ] }, { "cell_type": "markdown", + "id": "cell-038", "metadata": {}, - "source": "Define the photometric bands of the input images used to create the composite color image.", - "id": "cell-038" + "source": [ + "Define the photometric bands of the input images used to create the composite color image." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-039", "metadata": {}, "outputs": [], - "source": "bands = [\"g\", \"r\", \"i\"]", - "id": "cell-039" + "source": [ + "bands = [\"g\", \"r\", \"i\"]" + ] }, { "cell_type": "markdown", + "id": "cell-040", "metadata": {}, - "source": "Format the bands into a query string.", - "id": "cell-040" + "source": [ + "Format the bands into a query string." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-041", "metadata": {}, "outputs": [], - "source": "bands_str = \",\".join(f\"'{b}'\" for b in bands)", - "id": "cell-041" + "source": [ + "bands_str = \",\".join(f\"'{b}'\" for b in bands)" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-042", "metadata": {}, "outputs": [], - "source": "bands_str", - "id": "cell-042" + "source": [ + "bands_str" + ] }, { "cell_type": "markdown", + "id": "cell-043", "metadata": {}, - "source": "Find the tract, patch for each of the RA and Dec coordinate pairs (in this case, just one), using the `coord_list_to_tract_patch` function.", - "id": "cell-043" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "def coord_list_to_tract_patch(coord_list, skymap):\n \"\"\"Create a list of tract, patch pairs for each coordinate in the input list.\n\n Parameters\n ----------\n coord_list : `list` of `lsst.geom.SpherePoint`\n List of coordinates for which the closest tract, patch region is to be\n found.\n skymap : `lsst.skymap.BaseSkymap`\n The skymap from where the tract, patch pairs are to be determined.\n\n Results\n -------\n results : `list` of `tuple` of `int`, `int`\n A list the same length as the input which each element is the closest\n tract patch to the corresponding coordinate. A tuple of -1, -1 will\n be returned if a coordinate can't be attributed to a tract, patch.\n\n Notes\n ----\n The patch number returned is the sequential index used to identify patches\n in the butler.\n \"\"\"\n results = []\n for coord in coord_list:\n tractInfo = skymap.findTract(coord)\n for patchInfo in tractInfo:\n if patchInfo.getInnerSkyPolygon().contains(coord.getVector()):\n results.append((tractInfo.getId(), patchInfo.getSequentialIndex()))\n break\n else:\n results.append((-1, -1))\n return results", - "id": "cell-044" + "source": [ + "Find the tract, patch for each of the RA and Dec coordinate pairs (in this case, just one), using the `coord_list_to_tract_patch` function." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-044", "metadata": {}, "outputs": [], - "source": "sph_points = [SpherePoint(r, d, degrees) for r, d in zip(ra_coordinates, dec_coordinates)]\nskymap_tract_patch = coord_list_to_tract_patch(sph_points, skymap)", - "id": "cell-045" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "Sort into tract–patch keys so that all points can be processed in a single tract–patch combination for efficiency. Because of patch overlap regions, `patch` is a list of one or more patches, and the first one is used.", - "id": "cell-046" + "source": [ + "def coord_list_to_tract_patch(coord_list, skymap):\n", + " \"\"\"Create a list of tract, patch pairs for each coordinate in the input list.\n", + "\n", + " Parameters\n", + " ----------\n", + " coord_list : `list` of `lsst.geom.SpherePoint`\n", + " List of coordinates for which the closest tract, patch region is to be\n", + " found.\n", + " skymap : `lsst.skymap.BaseSkymap`\n", + " The skymap from where the tract, patch pairs are to be determined.\n", + "\n", + " Results\n", + " -------\n", + " results : `list` of `tuple` of `int`, `int`\n", + " A list the same length as the input which each element is the closest\n", + " tract patch to the corresponding coordinate. A tuple of -1, -1 will\n", + " be returned if a coordinate can't be attributed to a tract, patch.\n", + "\n", + " Notes\n", + " ----\n", + " The patch number returned is the sequential index used to identify patches\n", + " in the butler.\n", + " \"\"\"\n", + " results = []\n", + " for coord in coord_list:\n", + " tractInfo = skymap.findTract(coord)\n", + " for patchInfo in tractInfo:\n", + " if patchInfo.getInnerSkyPolygon().contains(coord.getVector()):\n", + " results.append((tractInfo.getId(), patchInfo.getSequentialIndex()))\n", + " break\n", + " else:\n", + " results.append((-1, -1))\n", + " return results" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-045", "metadata": {}, "outputs": [], - "source": "sorted_tract_patch = {}\nfor i, (tract, patch) in enumerate(skymap_tract_patch):\n container = sorted_tract_patch.setdefault((tract, patch), list())\n container.append(sph_points[i])", - "id": "cell-047" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "Loop over tract–patch pairs to create RGB images from coadd cutouts.\nFor each patch, the relevant coadd datasets for the requested bands are fetched through the Butler, with duplicates removed using `set`.\nEach coadd is retrieved with `storageClass=\"Exposure\"` so that `getCutout` returns an `ExposureF` (in DP2, the default `deep_coadd` storage class is a cell-based coadd).\nSince all bands in a tract–patch share the same World Coordinate System (WCS), one WCS is used to transform sky coordinates into pixel coordinates.\nFor every target point, a bounding box is defined to extract a cutout from each band image.\nThese cutouts are passed to the `PrettyPictureTask`, which produces an RGB image for display.\n\n**Note**: The `PrettyPictureTask` run method natively takes a dictionary mapping of bands as keys to exposures. However, the task also supports arrays via `task.makeInputsFromArrays`, which can be used if the band data have already been preprocessed into numpy arrays.", - "id": "cell-048" + "source": [ + "sph_points = [SpherePoint(r, d, degrees) for r, d in zip(ra_coordinates, dec_coordinates)]\n", + "skymap_tract_patch = coord_list_to_tract_patch(sph_points, skymap)" + ] }, { "cell_type": "markdown", + "id": "cell-046", "metadata": {}, - "source": ">**Warning**: Fetching cutouts individually can be inefficient because the Butler re-reads the images for every request; for multiple cutouts, it is usually faster to fetch the full image once and then slice it locally.", - "id": "cell-049" + "source": [ + "Sort into tract–patch keys so that all points can be processed in a single tract–patch combination for efficiency. Because of patch overlap regions, `patch` is a list of one or more patches, and the first one is used." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-047", "metadata": {}, "outputs": [], - "source": "for (tract, patch), points in sorted_tract_patch.items():\n lens_refs = list(\n set(\n butler.query_datasets(\n \"deep_coadd\",\n patch=patch,\n tract=tract,\n where=f\"band in ({bands_str})\",\n )\n )\n )\n\n wcs = skymap[tract].wcs\n coadd_dict = {}\n for ref in lens_refs:\n coadd_dict[ref.dataId[\"band\"]] = butler.get(ref, storageClass=\"Exposure\")\n\n for point in points:\n xy = Point2I(wcs.skyToPixel(point))\n cutoutSize = Extent2I(stamp_size, stamp_size)\n bbox = Box2I(xy - cutoutSize // 2, cutoutSize)\n cutouts = {k: exp.getCutout(bbox) for k, exp in coadd_dict.items()}\n rgbImage = task.run(cutouts).outputRGB\n display_image_array(rgbImage, figsize=(8, 4), name=\"EUCLID QR1 Lens Candidate\")", - "id": "cell-050" + "source": [ + "sorted_tract_patch = {}\n", + "for i, (tract, patch) in enumerate(skymap_tract_patch):\n", + " container = sorted_tract_patch.setdefault((tract, patch), list())\n", + " container.append(sph_points[i])" + ] }, { "cell_type": "markdown", + "id": "cell-048", "metadata": {}, - "source": ">**Figure 1**: `gri` color-composite cutout of a Euclid QR1 strong lens candidate in DP2 data.", - "id": "cell-051" + "source": [ + "Loop over tract–patch pairs to create RGB images from coadd cutouts.\n", + "For each patch, the relevant coadd datasets for the requested bands are fetched through the Butler, with duplicates removed using `set`.\n", + "Each coadd is retrieved with `storageClass=\"Exposure\"` so that `getCutout` returns an `ExposureF` (in DP2, the default `deep_coadd` storage class is a cell-based coadd).\n", + "Since all bands in a tract–patch share the same World Coordinate System (WCS), one WCS is used to transform sky coordinates into pixel coordinates.\n", + "For every target point, a bounding box is defined to extract a cutout from each band image.\n", + "These cutouts are passed to the `PrettyPictureTask`, which produces an RGB image for display.\n", + "\n", + "**Note**: The `PrettyPictureTask` run method natively takes a dictionary mapping of bands as keys to exposures. However, the task also supports arrays via `task.makeInputsFromArrays`, which can be used if the band data have already been preprocessed into numpy arrays." + ] }, { "cell_type": "markdown", + "id": "cell-049", "metadata": {}, - "source": "### 3.1. Explore the stretch and black-point parameters\n\nThe appearance of the composite depends strongly on `imageRemappingConfig.absMax` (the input flux mapped to white) and `luminanceConfig.shadow` (the luminance level mapped to black).\nScan a grid of the Euclid cutout over a wide range of both parameters to find the combination that looks best.\nThe `build_pretty_config` function returns a configuration with the given `absMax` and `shadow`; the remaining parameters are fixed at sensible values (note `doLocalContrast=True`, `stretch=2000`, `highlight=0.2`, and `saturation=0.3`, which differ from the Section 2 defaults).\nThe cutouts computed in the loop above are reused, and a fresh configuration is built for each combination so the shared `pretty_pic_config` (used in Section 4) is left unchanged.", - "id": "cell-052" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "absmaxes = [50, 100, 200, 400, 800, 1600, 3200]\nshadows = [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]\n\n\ndef build_pretty_config(abs_max, shadow):\n \"\"\"Return a PrettyPictureTask config with the given absMax and shadow.\"\"\"\n config = PrettyPictureTask.ConfigClass()\n config.doLocalContrast = True\n config.imageRemappingConfig.absMax = abs_max\n config.luminanceConfig.stretch = 2000\n config.luminanceConfig.highlight = 0.2\n config.luminanceConfig.shadow = shadow\n config.luminanceConfig.midtone = 0.25\n config.doPsfDeconvolve = False\n config.exposureBracketerConfig.exposureBrackets = None\n config.colorConfig.maxChroma = 80\n config.colorConfig.saturation = 0.3\n config.channelConfig = {\n \"g\": ChannelRGBConfig(r=0, g=0, b=1),\n \"r\": ChannelRGBConfig(r=0, g=1, b=0),\n \"i\": ChannelRGBConfig(r=1, g=0, b=0),\n }\n return config", - "id": "cell-053" + "source": [ + ">**Warning**: Fetching cutouts individually can be inefficient because the Butler re-reads the images for every request; for multiple cutouts, it is usually faster to fetch the full image once and then slice it locally." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-050", "metadata": {}, "outputs": [], - "source": "fig, axes = plt.subplots(len(absmaxes), len(shadows),\n figsize=(2.4 * len(shadows), 2.4 * len(absmaxes)))\nfor i, abs_max in enumerate(absmaxes):\n for j, shadow in enumerate(shadows):\n grid_task = PrettyPictureTask(config=build_pretty_config(abs_max, shadow))\n rgb = grid_task.run(cutouts).outputRGB\n display_image_array(rgb, ax=axes[i, j])\n axes[i, j].set_title(f\"absMax={abs_max}, shadow={shadow}\", fontsize=9)\nplt.tight_layout()\nplt.show()", - "id": "cell-054" + "source": [ + "for (tract, patch), points in sorted_tract_patch.items():\n", + " lens_refs = list(\n", + " set(\n", + " butler.query_datasets(\n", + " \"deep_coadd\",\n", + " patch=patch,\n", + " tract=tract,\n", + " where=f\"band in ({bands_str})\",\n", + " )\n", + " )\n", + " )\n", + "\n", + " wcs = skymap[tract].wcs\n", + " coadd_dict = {}\n", + " for ref in lens_refs:\n", + " coadd_dict[ref.dataId[\"band\"]] = butler.get(ref, storageClass=\"Exposure\")\n", + "\n", + " for point in points:\n", + " xy = Point2I(wcs.skyToPixel(point))\n", + " cutoutSize = Extent2I(stamp_size, stamp_size)\n", + " bbox = Box2I(xy - cutoutSize // 2, cutoutSize)\n", + " cutouts = {k: exp.getCutout(bbox) for k, exp in coadd_dict.items()}\n", + " rgbImage = task.run(cutouts).outputRGB\n", + " display_image_array(rgbImage, figsize=(8, 4), name=\"EUCLID QR1 Lens Candidate\")" + ] }, { "cell_type": "markdown", + "id": "cell-051", "metadata": {}, - "source": ">**Figure 2**: Grid of the Euclid QR1 strong lens cutout over a range of `absMax` (rows) and `shadow` (columns) values.", - "id": "cell-055" + "source": [ + ">**Figure 1**: `gri` color-composite cutout of a Euclid QR1 strong lens candidate in DP2 data." + ] }, { "cell_type": "markdown", + "id": "cell-056", "metadata": {}, - "source": "## 4. Galaxy cluster big cutout\n\nPSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\nCreate a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts.", - "id": "cell-056" + "source": [ + "## 4. Galaxy cluster big cutout\n", + "\n", + "PSZ2 G309.43-72.86 is a Sunyaev-Zel'dovich-selected galaxy cluster at redshift 0.35 that is included in the DP2 data release, in the ELAIS-S1 field.\n", + "Create a color composite of the cluster to illustrate the use of `PrettyPictureTask` on a dense field of galaxies, combined with the multi-patch cutout technique introduced in the 103-series tutorial on multi-coadd mosaic cutouts." + ] }, { "cell_type": "markdown", + "id": "cell-057", "metadata": {}, - "source": "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees.", - "id": "cell-057" + "source": [ + "Define the coordinates of the cluster center (the Sunyaev-Zel'dovich coordinates), in degrees." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-058", "metadata": {}, "outputs": [], - "source": "ra_bcg = 10.196\ndec_bcg = -44.134", - "id": "cell-058" + "source": [ + "ra_bcg = 10.196\n", + "dec_bcg = -44.134" + ] }, { "cell_type": "markdown", + "id": "cell-059", "metadata": {}, - "source": "Define a half-width of 0.1 degrees from the cluster center in declination, so the cutout spans 0.2 degrees on the sky (twice the half-width).", - "id": "cell-059" + "source": [ + "Define a half-width of 0.05 degrees from the cluster center in declination, so the cutout spans 0.1 degrees on the sky (twice the half-width)." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-060", "metadata": {}, "outputs": [], - "source": "box_half_size_deg = 0.1", - "id": "cell-060" + "source": [ + "box_half_size_deg = 0.05" + ] }, { "cell_type": "markdown", + "id": "cell-061", "metadata": {}, - "source": "To obtain a cutout that is (approximately) square on the sky, widen the extent in right ascension (RA) by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\nWithout this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square.", - "id": "cell-061" + "source": [ + "To obtain a cutout that is (approximately) square on the sky, widen the extent in right ascension (RA) by a factor of 1/cos(Dec), because lines of constant RA converge toward the poles.\n", + "Without this correction, equal ranges in RA and Dec degrees map to different numbers of pixels, and the resulting image is rectangular rather than square." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-062", "metadata": {}, "outputs": [], - "source": "cos_dec = np.cos(np.radians(dec_bcg))\nra_half_deg = box_half_size_deg / cos_dec\ndec_half_deg = box_half_size_deg", - "id": "cell-062" + "source": [ + "cos_dec = np.cos(np.radians(dec_bcg))\n", + "ra_half_deg = box_half_size_deg / cos_dec\n", + "dec_half_deg = box_half_size_deg" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-063", "metadata": {}, "outputs": [], - "source": "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)\n\ndataset_refs = set(\n butler.query_datasets(\n \"deep_coadd\",\n where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n bind={\"region\": box_region}\n )\n)", - "id": "cell-063" + "source": [ + "box_region = SphBox.fromDegrees(ra_bcg - ra_half_deg, dec_bcg - dec_half_deg,\n", + " ra_bcg + ra_half_deg, dec_bcg + dec_half_deg)\n", + "\n", + "dataset_refs = set(\n", + " butler.query_datasets(\n", + " \"deep_coadd\",\n", + " where=f\"patch.region OVERLAPS(region) and band in ({bands_str})\",\n", + " bind={\"region\": box_region}\n", + " )\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-064", "metadata": {}, - "source": "Prepare the inputs for building a custom skymap.\nFor each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define a skymap that includes only the data in use.\nAt the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\nEach tract key contains all the dataset refs for that tract band combination.", - "id": "cell-064" + "source": [ + "Prepare the inputs for building a custom skymap.\n", + "For each dataset reference, the WCS and bounding box of its patch are stored, so the collection of positions can later define a skymap that includes only the data in use.\n", + "At the same time, the dataset references are organized into a nested dictionary: first grouped by band, then within each band grouped by tract.\n", + "Each tract key contains all the dataset refs for that tract band combination." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-065", "metadata": {}, "outputs": [], - "source": "position_container = []\nsorted_data = {}\nfor ds_ref in dataset_refs:\n did = ds_ref.dataId\n\n patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n\n band_container = sorted_data.setdefault(did[\"band\"], dict())\n tract_container = band_container.setdefault(did[\"tract\"], list())\n tract_container.append(ds_ref)", - "id": "cell-065" + "source": [ + "position_container = []\n", + "sorted_data = {}\n", + "for ds_ref in dataset_refs:\n", + " did = ds_ref.dataId\n", + "\n", + " patchInfo = skymap[did[\"tract\"]][did[\"patch\"]]\n", + " position_container.append((patchInfo.wcs, patchInfo.outer_bbox))\n", + "\n", + " band_container = sorted_data.setdefault(did[\"band\"], dict())\n", + " tract_container = band_container.setdefault(did[\"tract\"], list())\n", + " tract_container.append(ds_ref)" + ] }, { "cell_type": "markdown", - "metadata": {}, - "source": "The goal is to create an image of an arbitrary sky region that is not aligned with the native LSST sky tessellation.\nThis is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\nThe same template-generation code can be used to transform input data aligned on the LSST tessellation into the required geometry.\n\nTo use the template code, a single WCS that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\nA discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\nA bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n\nWith this setup, images are generated per band by combining the inputs that fall within the bounding box.\nThe `GetTemplateTask` creates coadds for each band, which are then combined into a final RGB mosaic.", - "id": "cell-066" + "id": "cell-066", + "metadata": {}, + "source": [ + "The goal is to create an image of an arbitrary sky region that is not aligned with the native LSST sky tessellation.\n", + "This is similar to the process in alert production, where past LSST observations are combined to generate static-sky templates for detecting transients in new exposures.\n", + "The same template-generation code can be used to transform input data aligned on the LSST tessellation into the required geometry.\n", + "\n", + "To use the template code, a single WCS that encompasses all input data is needed, instead of having a separate tangent-plane WCS for each tract.\n", + "A discrete skymap is therefore created for the input data, producing one tract with a single WCS projection.\n", + "A bounding box is then defined in these new coordinates, centered on the cluster and spanning the specified width.\n", + "\n", + "With this setup, images are generated per band by combining the inputs that fall within the bounding box.\n", + "The `GetTemplateTask` creates coadds for each band, which are then combined into a final RGB mosaic." + ] }, { "cell_type": "markdown", + "id": "cell-067", "metadata": {}, - "source": "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5).", - "id": "cell-067" + "source": [ + "> **Note:** In DP2, the default storage class of a `deep_coadd` is a cell-based coadd (`lsst.images.cells.CellCoadd`), while `GetTemplateTask` expects afw `Exposure` objects. Retrieve each coadd with `storageClass=\"Exposure\"` and wrap it in an `InMemoryDatasetHandle`, then pass the handles to the task through the `coaddExposureHandles` argument. This is a validated workaround for a temporary issue with passing `storageClass=\"Exposure\"` to deferred (lazy) Butler handles; see the [Rubin Community Forum discussion](https://community.lsst.org/t/issues-with-gettemplatetask-after-edp2/12366/5)." + ] }, { "cell_type": "markdown", + "id": "cell-068", "metadata": {}, - "source": "First, make a skymap which contains all input data using the `MakeDiscreteSkyMapTask()` task.", - "id": "cell-068" + "source": [ + "First, make a skymap which contains all input data using the `MakeDiscreteSkyMapTask()` task." + ] }, { "cell_type": "markdown", + "id": "cell-069", "metadata": {}, - "source": "Override the default `MakeDiscreteSkyMapTask()` configuration values and replace them with those appropriate for LSSTCam, in particular the pixel scale and the World Coordinate System (WCS) projection.", - "id": "cell-069" + "source": [ + "Override the default `MakeDiscreteSkyMapTask()` configuration values and replace them with those appropriate for LSSTCam, in particular the pixel scale and the World Coordinate System (WCS) projection." + ] }, { "cell_type": "markdown", + "id": "cell-070", "metadata": {}, - "source": "Use the cluster location to obtain the pixel scale.\nFirst, get the WCS of the patch and tract where the cluster is located.", - "id": "cell-070" + "source": [ + "Use the cluster location to obtain the pixel scale.\n", + "First, get the WCS of the patch and tract where the cluster is located." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-071", "metadata": {}, "outputs": [], - "source": "bcg_point = SpherePoint(ra_bcg * degrees,\n dec_bcg * degrees)\nbcg_tract = skymap.findTract(bcg_point)\nbcg_patch = bcg_tract.findPatch(bcg_point)\n\nbcg_tract_number = bcg_tract.tract_id\nbcg_patch_number = bcg_patch.getSequentialIndex()\nprint(bcg_tract_number, bcg_patch_number)", - "id": "cell-071" + "source": [ + "bcg_point = SpherePoint(ra_bcg * degrees,\n", + " dec_bcg * degrees)\n", + "bcg_tract = skymap.findTract(bcg_point)\n", + "bcg_patch = bcg_tract.findPatch(bcg_point)\n", + "\n", + "bcg_tract_number = bcg_tract.tract_id\n", + "bcg_patch_number = bcg_patch.getSequentialIndex()\n", + "print(bcg_tract_number, bcg_patch_number)" + ] }, { "cell_type": "markdown", + "id": "cell-072", "metadata": {}, - "source": "Get the data reference for the coadd in the `g` band that contains the cluster center.", - "id": "cell-072" + "source": [ + "Get the data reference for the coadd in the `g` band that contains the cluster center." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-073", "metadata": {}, "outputs": [], - "source": "bcg_data_ref = next(\n ref\n for ref in sorted_data[bands[0]][bcg_tract_number]\n if ref.dataId[\"patch\"] == bcg_patch_number\n)", - "id": "cell-073" + "source": [ + "bcg_data_ref = next(\n", + " ref\n", + " for ref in sorted_data[bands[0]][bcg_tract_number]\n", + " if ref.dataId[\"patch\"] == bcg_patch_number\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-074", "metadata": {}, - "source": "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\nIn DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\nThe pixel scale is measured as the on-sky separation between two pixels that are one pixel apart.", - "id": "cell-074" + "source": [ + "Get the pixel scale at the cluster location from the coadd's `sky_projection` component.\n", + "In DP2, the astrometric solution of a cell-based `deep_coadd` is stored as an `lsst.images` `SkyProjection`, retrieved through the `deep_coadd.sky_projection` component (see the [DP2 astrometric calibration tutorial](https://dp2.lsst.io/)).\n", + "The pixel scale is measured as the on-sky separation between two pixels that are one pixel apart." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-075", "metadata": {}, "outputs": [], - "source": "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n band=bands[0], skymap=\"lsst_cells_v2\",\n tract=bcg_tract_number, patch=bcg_patch_number)\n\ntarget = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\nxy = coadd_wcs.sky_to_pixel(target)\nsky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\nsky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\nplate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\nprint(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")", - "id": "cell-075" + "source": [ + "coadd_wcs = butler.get(\"deep_coadd.sky_projection\",\n", + " band=bands[0], skymap=\"lsst_cells_v2\",\n", + " tract=bcg_tract_number, patch=bcg_patch_number)\n", + "\n", + "target = SkyCoord(ra=ra_bcg * u.deg, dec=dec_bcg * u.deg)\n", + "xy = coadd_wcs.sky_to_pixel(target)\n", + "sky_00 = coadd_wcs.pixel_to_sky(x=xy.x, y=xy.y)\n", + "sky_10 = coadd_wcs.pixel_to_sky(x=xy.x + 1, y=xy.y)\n", + "plate_scale_bcg = sky_00.separation(sky_10).to(u.arcsec).value\n", + "print(f\"Pixel scale: {plate_scale_bcg: .4f} arcsec/pixel\")" + ] }, { "cell_type": "markdown", + "id": "cell-076", "metadata": {}, - "source": "Define an instance of the configuration class and override the plate scale.", - "id": "cell-076" + "source": [ + "Define an instance of the configuration class and override the plate scale." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-077", "metadata": {}, "outputs": [], - "source": "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()", - "id": "cell-077" + "source": [ + "discrete_skymap_config = MakeDiscreteSkyMapTask().ConfigClass()" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-078", "metadata": {}, "outputs": [], - "source": "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg", - "id": "cell-078" + "source": [ + "discrete_skymap_config.skyMap.pixelScale = plate_scale_bcg" + ] }, { "cell_type": "markdown", + "id": "cell-079", "metadata": {}, - "source": "Set the WCS projection. The WCS of `deep_coadd` images are TAN projections ([see the DP2 documentation](https://dp2.lsst.io/)).", - "id": "cell-079" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "discrete_skymap_config.skyMap.projection = 'TAN'", - "id": "cell-080" + "source": [ + "Set the WCS projection. The WCS of `deep_coadd` images are TAN projections ([see the DP2 documentation](https://dp2.lsst.io/))." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-080", "metadata": {}, "outputs": [], - "source": "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap", - "id": "cell-081" - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": "Get the new WCS from the single tract discrete skymap.", - "id": "cell-082" + "source": [ + "discrete_skymap_config.skyMap.projection = 'TAN'" + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-081", "metadata": {}, "outputs": [], - "source": "new_wcs = new_skymap[0].wcs", - "id": "cell-083" + "source": [ + "new_skymap = MakeDiscreteSkyMapTask(config=discrete_skymap_config).run(position_container).skyMap" + ] }, { "cell_type": "markdown", + "id": "cell-082", "metadata": {}, - "source": "Create a bounding box in the new WCS coordinates that is centered on the\ncluster and has the width defined above.", - "id": "cell-084" + "source": [ + "Get the new WCS from the single tract discrete skymap." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-083", "metadata": {}, "outputs": [], - "source": "small_box = Box2I(\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n dec_bcg - dec_half_deg, degrees))),\n Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n dec_bcg + dec_half_deg, degrees))),\n)", - "id": "cell-085" + "source": [ + "new_wcs = new_skymap[0].wcs" + ] }, { "cell_type": "markdown", + "id": "cell-084", "metadata": {}, - "source": "Loop over bands to create images that are combinations of the inputs contained\nwithin the defined box.\nEach coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\nNote that the `run` method modifies the bounding box in place, so a copy is made.", - "id": "cell-086" + "source": [ + "Create a bounding box in the new WCS coordinates that is centered on the\n", + "cluster and has the width defined above." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-085", "metadata": {}, "outputs": [], - "source": "getTemplateTask = GetTemplateTask()\ncoadds = {}\nfor band, mapping in sorted_data.items():\n small_box_copy = Box2I(small_box)\n new_image = getTemplateTask.run(\n coaddExposureHandles={\n tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n for ref in refs]\n for tract, refs in mapping.items()\n },\n bbox=small_box_copy,\n wcs=new_wcs,\n dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n physical_filter=band,\n ).template\n coadds[band] = new_image", - "id": "cell-087" + "source": [ + "small_box = Box2I(\n", + " Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg - ra_half_deg,\n", + " dec_bcg - dec_half_deg, degrees))),\n", + " Point2I(new_wcs.skyToPixel(SpherePoint(ra_bcg + ra_half_deg,\n", + " dec_bcg + dec_half_deg, degrees))),\n", + ")" + ] }, { "cell_type": "markdown", + "id": "cell-086", "metadata": {}, - "source": "Adjust the `shadow` and `midtone` parameters slightly, and redefine the task so the changes take place.", - "id": "cell-088" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": "pretty_pic_config.luminanceConfig.shadow = 0.15\npretty_pic_config.luminanceConfig.midtone = 0.3", - "id": "cell-089" + "source": [ + "Loop over bands to create images that are combinations of the inputs contained\n", + "within the defined box.\n", + "Each coadd is retrieved with `storageClass=\"Exposure\"` and wrapped in an `InMemoryDatasetHandle`, then passed to the task through `coaddExposureHandles`.\n", + "Note that the `run` method modifies the bounding box in place, so a copy is made." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-087", "metadata": {}, "outputs": [], - "source": "task = PrettyPictureTask(config=pretty_pic_config)", - "id": "cell-090" + "source": [ + "getTemplateTask = GetTemplateTask()\n", + "coadds = {}\n", + "for band, mapping in sorted_data.items():\n", + " small_box_copy = Box2I(small_box)\n", + " new_image = getTemplateTask.run(\n", + " coaddExposureHandles={\n", + " tract: [InMemoryDatasetHandle(butler.get(ref, storageClass=\"Exposure\"))\n", + " for ref in refs]\n", + " for tract, refs in mapping.items()\n", + " },\n", + " bbox=small_box_copy,\n", + " wcs=new_wcs,\n", + " dataIds={tract: [ref.dataId for ref in refs] for tract, refs in mapping.items()},\n", + " physical_filter=band,\n", + " ).template\n", + " coadds[band] = new_image" + ] }, { "cell_type": "markdown", + "id": "cell-091", "metadata": {}, - "source": "Run the task to make the image.", - "id": "cell-091" + "source": [ + "Run the task to make the image." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-092", "metadata": {}, "outputs": [], - "source": "mosaic_image = task.run(coadds).outputRGB", - "id": "cell-092" + "source": [ + "mosaic_image = task.run(coadds).outputRGB" + ] }, { "cell_type": "markdown", + "id": "cell-093", "metadata": {}, - "source": "Display the image.", - "id": "cell-093" + "source": [ + "Display the image." + ] }, { "cell_type": "code", "execution_count": null, + "id": "cell-094", "metadata": {}, "outputs": [], - "source": "display_image_array(mosaic_image, name=\"PSZ2 G309.43-72.86\")", - "id": "cell-094" + "source": [ + "display_image_array(mosaic_image, name=\"PSZ2 G309.43-72.86\")" + ] }, { "cell_type": "markdown", + "id": "cell-095", "metadata": {}, - "source": ">**Figure 3**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86.", - "id": "cell-095" + "source": [ + ">**Figure 2**: `gri` color-composite big cutout of galaxy cluster PSZ2 G309.43-72.86." + ] } ], "metadata": {